وظائف مطورين بايثون في الجزائر

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> About the Role You’ll design coding tasks that challenge frontier AI coding agents.<br> Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome.<br> Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br> Responsibilities : Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem.<br> Build a reproducible Docker environment with pinned dependencies.<br> Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.<br> Write an instruction.<br>md that reads like a Jira ticket a developer would receive.<br> Write a reference solve.<br>sh proving the task is solvable.<br> Calibrate difficulty so current state-of-the-art agents solve the task 20–60% of the time.<br> Iterate based on feedback from expert QA reviewers.<br> Later: review other authors’ tasks as a QA reviewer.<br> Not in scope Data labeling, prompt engineering.<br> Production code to ship — you design problems and verification for AI agents.<br> Leetcode puzzles — scenarios must look like real developer work.<br> Not every candidate task ships — quality over quantity.<br> Requirements 3+ years of production software development in one backend stack — Python, Go, Node.<br>js, Java, or Rust.<br> Depth in one stack beats breadth.<br> Python + pytest fluency — required regardless of primary stack.<br> The task harness is pytest-based even when the broken app is in another language.<br> Fixtures, parametrize, monkeypatch, timeouts, conftest.<br>py. Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.<br> Linux &amp; Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.<br> AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work.<br> You can cite a specific time the AI was confidently wrong and how you caught it.<br> English — B2+ written.<br> Not a fit Data Science, ML, or Computer Vision engineers without backend-engineering output.<br> Manual QA testers without automation or test authoring.<br> Frontend-only, low-code / no-code, IT Support, or Business Analysts.<br> Engineers who have never written pytest from scratch.<br> Junior, intern, or assistant as the most recent role.<br> Preferred qualifications Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.<br> Modern Python tooling (uv, poetry, pyproject.<br>toml). Coverage tooling (pytest-cov, coverage.<br>py, gcov, llvm-cov, kcov).<br> Fuzzing or property-based testing (Hypothesis).<br> Prior contribution to agent-evaluation benchmarks or related frameworks.<br> Process Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br> Time commitment Onboarding: ~10 hours per first task.<br> Steady state: ~5 hours per task, 2–4 parallel tasks per author.<br> Realistic weekly load: 8–20 hours.<br> Higher volume available for top performers.<br> You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.<br> Compensation: Paid contributions, rates up to $35/hour *.<br> Task-based compensation equivalent to hourly rate, depending on performance and volume.<br> Some projects include incentive payments.<br> *Rates vary based on expertise, skills assessment, location, project needs, and other factors.<br> Higher rates may be provided to highly specialized experts.<br> Lower rates may apply during onboarding or non-core project phases.<br> Payment details are shared per project.<br> Apply Submit your CV via the Mindrift platform.<br> Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a GitHub profile link if available.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project (https://tendem.<br>ai/) and build interactive browser-based applications for real-world use cases.<br> In this role, you'll apply your full-stack engineering expertise to design, build, and maintain functional, robust, and user-friendly web applications.<br> This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps.<br> You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br> Key Responsibilities Build interactive web applications with frontend (React, Next.<br>js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).<br> Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.<br> Implement authentication, sessions, and basic role-based access where needed.<br> Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.<br> Handle state management, user input validation, error states, and loading states cleanly.<br> Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).<br> Review, debug, optimize, and refactor full-stack applications to improve correctness, security, performance, and maintainability.<br> Write clear, testable code and debug end-to-end issues across frontend, backend, and database.<br> Educational qualifications At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end.<br> We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and build production-ready web applications.<br> Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.<br> Technical Skills (Essential) Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.<br>js, Vue, Svelte, or similar).<br> Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.<br>js (Express, NestJS).<br> Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.<br> Experience implementing REST APIs, request validation, error handling, and authentication flows.<br> Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.<br>io, Railway, or similar).<br> Experience integrating LLM APIs or other AI services into product features is a strong plus.<br> Comfortable with version control (Git) and basic testing practices.<br> Additional requirements Strong attention to detail and commitment to building working, robust products — not demos.<br> Self-directed work ethic with the ability to architect, build, and ship features independently.<br> Portfolio of shipped web applications (required).<br> English proficiency: Upper-intermediate (B2) or above (required).<br> Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Develop and customize functionalities in Odoo ERP using Python. Diagnose and correct technical anomalies occurring in the system. Produce clean, maintainable, and efficient code. Maintain rigorous documentation of the code and processes.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Master's degree in Computer Science (or equivalent). 1-2 years of experience with Odoo ERP and its modules. Good level of Python and proficiency with Git. Good understanding of software development principles and design patterns. Autonomous, organized, meticulous, with a good team spirit and listening skills. Passionate about new technologies, dynamic, and capable of handling intense project phases.</font></font></p>

<h3>Job Description</h3> <p>We are looking for a Palantir Foundry with 3 4 years of experience in data engineering and hands-on experience with the Palantir Foundry platform . The candidate will be responsible for building data pipelines, integrating data sources, transforming data, and supporting data-driven applications.</p> <h3>Qualifications</h3> <p>We are looking for strong Palantir Foundry / AIP engineers who can work across Application Development, Data Engineering, Ontology and AI . The ideal candidate should not be limited to building Foundry pipelines or dashboards. We are looking for someone who understands how to take a business problem from:</p> <ul> <li>External/Data Sources</li> <li>Data Engineering</li> <li>Ontology</li> <li>Business Logic &amp; Actions</li> <li>Applications</li> <li>AIP/AI Workflows</li> </ul> <p>Experience resembling an AI Forward Deployed Engineer (AI FDE) is highly desirable.</p> <p><strong>1. Palantir Foundry Core Skills</strong></p> <p>Profiles should demonstrate hands-on experience across several of the following areas:</p> <ul> <li>Data Integration &amp; Engineering</li> <li>Data Connections / external source integrations</li> <li>Pipeline Builder</li> <li>Code Repositories</li> <li>Python / PySpark transformations</li> <li>Dataset modelling and transformations</li> <li>Data quality, lineage and dependency management</li> <li>Contour analysis</li> <li>Quiver analysis</li> <li>Foundry Automate</li> </ul> <p>Candidates with strong traditional Data Engineering experience in addition to Palantir should receive additional preference.</p> <p><strong>2. Ontology Critical Skill</strong></p> <p>Strong Ontology knowledge is one of the most important screening criteria. Look for candidates who understand:</p> <ul> <li>Ontology Object Types</li> <li>Properties</li> <li>Relationships / Links</li> <li>Actions</li> <li>Functions</li> <li>Interfaces</li> <li>Object-backed applications</li> <li>Mapping datasets/data models into Ontology</li> <li>Designing Ontology around business concepts rather than simply exposing database tables</li> </ul> <p>The candidate should understand how Ontology acts as the business/semantic layer connecting data, applications, workflows and AI . A candidate who has extensive Foundry experience but little understanding of Ontology should not automatically be considered a strong Palantir profile .</p> <p><strong>3. Palantir Application Development</strong></p> <p>We want candidates who can build applications on top of the data and Ontology. Look for:</p> <ul> <li>Workshop Application development using Ontology Actions and workflows</li> <li>Functions developed through Code Repositories</li> <li>Developer Console</li> <li>React / TypeScript application development</li> <li>Building custom applications using Ontology APIs</li> <li>Integration of applications with external/internal enterprise systems</li> </ul> <p>Strong general software engineering or application-development experience is a significant advantage.</p> <p><strong>4. AIP / AI Capabilities</strong></p> <p>Candidates should have a good understanding of Palantir AIP and preferably hands-on experience with:</p> <ul> <li>AIP Logic</li> <li>LLM-powered workflows</li> <li>Agents / AI workflows</li> <li>Using Ontology as context for AI</li> <li>Tool/function calling</li> <li>AIP applications</li> <li>AI-driven Actions</li> <li>Human-in-the-loop workflows</li> <li>AI governance and access controls</li> <li>MCP / Model Context Protocol</li> <li>Connecting AI workflows with external systems and tools</li> </ul> <p>We prefer candidates who understand how AI is operationalized against enterprise data and business processes , rather than candidates whose AI knowledge is limited to prompting an LLM.</p> <p><strong>5. Programming &amp; Data Engineering</strong></p> <p>Strong programming ability is expected. High Priority</p> <ul> <li>Python</li> <li>PySpark</li> <li>SQL</li> <li>Data transformations</li> <li>Data modelling</li> <li>ETL/ELT concepts</li> <li>Large-scale data processing</li> </ul> <p>Additional Advantage</p> <ul> <li>React</li> <li>TypeScript / JavaScript</li> <li>REST APIs</li> <li>Backend/application development</li> <li>Cloud platforms</li> <li>Databricks / Spark or similar data platforms</li> </ul> <p>A strong Data Engineering background is a definite plus .</p> <p><strong>Preferred Candidate Profile</strong></p> <p>The strongest candidates will have a combination of three areas: Application Engineering + Data Engineering + AI Engineering For example:</p> <ul> <li><strong>Data Engineering</strong> Connections Pipeline Builder PySpark/Python Data Modelling Data Quality</li> <li><strong>Palantir Semantic &amp; Operational Layer</strong> Ontology Objects Relationships Actions Functions Automate</li> <li><strong>Application &amp; AI Layer</strong> Workshop / Developer Console React Applications AIP Logic Agents MCP / External Tools</li> </ul> <p>Candidates who can comfortably work across these layers should be prioritized.</p> <p><strong>Screening Priority</strong></p> <p>When reviewing profiles, prioritize approximately in this order:</p> <ol> <li>Strong Palantir Foundry hands-on experience</li> <li>Strong Ontology understanding</li> <li>Python / PySpark and Data Engineering</li> <li>AIP / AIP Logic / AI workflows</li> <li>Actions, Functions and Code Repositories</li> <li>Pipeline Builder and Data Connections</li> <li>Workshop / application development</li> <li>Developer Console + React/TypeScript</li> <li>Automate</li> <li>Contour / Quiver</li> <li>MCP / external AI/tool integrations</li> </ol> <p>Do not reject an otherwise excellent candidate simply because they haven't used every Palantir application. We are primarily looking for breadth of architecture understanding combined with depth in several areas .</p> <p><strong>Profiles to Avoid</strong></p> <p>Be cautious with candidates whose Palantir experience is predominantly:</p> <ul> <li>Contour/dashboard/report development</li> <li>Basic Pipeline Builder usage only</li> <li>SQL transformations without broader engineering experience</li> <li>Foundry administration/support</li> <li>Data ingestion without Ontology experience</li> <li>Workshop configuration without application-development fundamentals</li> <li>Generic GenAI experience with very little Palantir AIP exposure</li> </ul> <p>These candidates may have Palantir exposure but may not fit the engineering capability we are looking for.</p><p><strong>Desired Candidate Profile</strong></p><h3>Qualifications</h3> <p>We are looking for strong Palantir Foundry / AIP engineers who can work across Application Development, Data Engineering, Ontology and AI . The ideal candidate should not be limited to building Foundry pipelines or dashboards. We are looking for someone who understands how to take a business problem from:</p> <ul> <li>External/Data Sources</li> <li>Data Engineering</li> <li>Ontology</li> <li>Business Logic &amp; Actions</li> <li>Applications</li> <li>AIP/AI Workflows</li> </ul> <p>Experience resembling an AI Forward Deployed Engineer (AI FDE) is highly desirable.</p> <p><strong>1. Palantir Foundry Core Skills</strong></p> <p>Profiles should demonstrate hands-on experience across several of the following areas:</p> <ul> <li>Data Integration &amp; Engineering</li> <li>Data Connections / external source integrations</li> <li>Pipeline Builder</li> <li>Code Repositories</li> <li>Python / PySpark transformations</li> <li>Dataset modelling and transformations</li> <li>Data quality, lineage and dependency management</li> <li>Contour analysis</li> <li>Quiver analysis</li> <li>Foundry Automate</li> </ul> <p>Candidates with strong traditional Data Engineering experience in addition to Palantir should receive additional preference.</p> <p><strong>2. Ontology Critical Skill</strong></p> <p>Strong Ontology knowledge is one of the most important screening criteria. Look for candidates who understand:</p> <ul> <li>Ontology Object Types</li> <li>Properties</li> <li>Relationships / Links</li> <li>Actions</li> <li>Functions</li> <li>Interfaces</li> <li>Object-backed applications</li> <li>Mapping datasets/data models into Ontology</li> <li>Designing Ontology around business concepts rather than simply exposing database tables</li> </ul> <p>The candidate should understand how Ontology acts as the business/semantic layer connecting data, applications, workflows and AI . A candidate who has extensive Foundry experience but little understanding of Ontology should not automatically be considered a strong Palantir profile .</p> <p><strong>3. Palantir Application Development</strong></p> <p>We want candidates who can build applications on top of the data and Ontology. Look for:</p> <ul> <li>Workshop Application development using Ontology Actions and workflows</li> <li>Functions developed through Code Repositories</li> <li>Developer Console</li> <li>React / TypeScript application development</li> <li>Building custom applications using Ontology APIs</li> <li>Integration of applications with external/internal enterprise systems</li> </ul> <p>Strong general software engineering or application-development experience is a significant advantage.</p> <p><strong>4. AIP / AI Capabilities</strong></p> <p>Candidates should have a good understanding of Palantir AIP and preferably hands-on experience with:</p> <ul> <li>AIP Logic</li> <li>LLM-powered workflows</li> <li>Agents / AI workflows</li> <li>Using Ontology as context for AI</li> <li>Tool/function calling</li> <li>AIP applications</li> <li>AI-driven Actions</li> <li>Human-in-the-loop workflows</li> <li>AI governance and access controls</li> <li>MCP / Model Context Protocol</li> <li>Connecting AI workflows with external systems and tools</li> </ul> <p>We prefer candidates who understand how AI is operationalized against enterprise data and business processes , rather than candidates whose AI knowledge is limited to prompting an LLM.</p> <p><strong>5. Programming &amp; Data Engineering</strong></p> <p>Strong programming ability is expected. High Priority</p> <ul> <li>Python</li> <li>PySpark</li> <li>SQL</li> <li>Data transformations</li> <li>Data modelling</li> <li>ETL/ELT concepts</li> <li>Large-scale data processing</li> </ul> <p>Additional Advantage</p> <ul> <li>React</li> <li>TypeScript / JavaScript</li> <li>REST APIs</li> <li>Backend/application development</li> <li>Cloud platforms</li> <li>Databricks / Spark or similar data platforms</li> </ul> <p>A strong Data Engineering background is a definite plus .</p> <p><strong>Preferred Candidate Profile</strong></p> <p>The strongest candidates will have a combination of three areas: Application Engineering + Data Engineering + AI Engineering For example:</p> <ul> <li><strong>Data Engineering</strong> Connections Pipeline Builder PySpark/Python Data Modelling Data Quality</li> <li><strong>Palantir Semantic &amp; Operational Layer</strong> Ontology Objects Relationships Actions Functions Automate</li> <li><strong>Application &amp; AI Layer</strong> Workshop / Developer Console React Applications AIP Logic Agents MCP / External Tools</li> </ul> <p>Candidates who can comfortably work across these layers should be prioritized.</p> <p><strong>Screening Priority</strong></p> <p>When reviewing profiles, prioritize approximately in this order:</p> <ol> <li>Strong Palantir Foundry hands-on experience</li> <li>Strong Ontology understanding</li> <li>Python / PySpark and Data Engineering</li> <li>AIP / AIP Logic / AI workflows</li> <li>Actions, Functions and Code Repositories</li> <li>Pipeline Builder and Data Connections</li> <li>Workshop / application development</li> <li>Developer Console + React/TypeScript</li> <li>Automate</li> <li>Contour / Quiver</li> <li>MCP / external AI/tool integrations</li> </ol> <p>Do not reject an otherwise excellent candidate simply because they haven't used every Palantir application. We are primarily looking for breadth of architecture understanding combined with depth in several areas .</p> <p><strong>Profiles to Avoid</strong></p> <p>Be cautious with candidates whose Palantir experience is predominantly:</p> <ul> <li>Contour/dashboard/report development</li> <li>Basic Pipeline Builder usage only</li> <li>SQL transformations without broader engineering experience</li> <li>Foundry administration/support</li> <li>Data ingestion without Ontology experience</li> <li>Workshop configuration without application-development fundamentals</li> <li>Generic GenAI experience with very little Palantir AIP exposure</li> </ul> <p>These candidates may have Palantir exposure but may not fit the engineering capability we are looking for.</p> <p><strong>Ideal Summary</strong></p> <p>The ideal candidate should be capable of saying: I can connect enterprise data into Foundry, engineer and transform it using Python/PySpark and Pipeline Builder, model the business domain through Ontology, expose business operations through Actions and Functions, build applications using Workshop or React/Developer Console, and use AIP Logic/AI agents to create intelligent workflows that operate securely against enterprise data and systems.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<p><strong>Company overview:</strong> <br>Pentabell is seeking a skilled 5G Network Optimization Engineer, for one of its clients. The candidate will support the ATM network optimization service project, which has recently added 5G services.<br> <br> <strong>Position:</strong> <br>5G Network Optimization Engineer<br> <br> <strong>Summary:</strong> <br>We are looking for two 5G Network Optimization Engineers to support the ATM network optimization service project, which has recently added 5G services. Please share suitable candidates with relevant 5G optimization experience and CVs for review<br> <br> <strong>Responsibilities:</strong> <br> Analyze and optimize 5G network performance<br> Collaborate with cross-functional teams to identify and resolve network issues<br> Develop and implement strategies to enhance network reliability and efficiency<br> Monitor network KPIs and provide regular reports on optimization efforts<br> Stay updated with the latest advancements in 5G technology<br> <br> <strong>Requirements:</strong> <br> Bachelor or Master's degree in Telecommunications, Computer Science, or a related field<br> Minimum of 5 years of experience in 5G network optimization<br> Familiarity with 5G protocols and standards<br> Experience with network monitoring tools and software<br> Strong problem-solving and analytical skills<br> Proficient in scripting languages such as Python or Shell<br> Good communication and teamwork abilities<br></p><p><strong>Desired Candidate Profile</strong></p><strong>Requirements:</strong> <br> Bachelor or Master's degree in Telecommunications, Computer Science, or a related field<br> Minimum of 5 years of experience in 5G network optimization<br> Familiarity with 5G protocols and standards<br> Experience with network monitoring tools and software<br> Strong problem-solving and analytical skills<br> Proficient in scripting languages such as Python or Shell<br> Good communication and teamwork abilities<br>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks.<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<p>We are looking for a <strong>Palantir Foundry </strong> with 3 4 years of experience in data engineering and hands-on experience with the <strong>Palantir Foundry platform</strong>. The candidate will be responsible for building data pipelines, integrating data sources, transforming data, and supporting data-driven applications.</p> <p> </p> <p>Qualifications </p> <p>We are looking for strong <strong>Palantir Foundry / AIP engineers</strong> who can work across <strong>Application Development, Data Engineering, Ontology and AI</strong>.</p> <p>The ideal candidate should not be limited to building Foundry pipelines or dashboards. We are looking for someone who understands how to take a business problem from:</p> <p> <strong>External/Data Sources Data Engineering Ontology Business Logic &amp; Actions Applications AIP/AI Workflows</strong> </p> <p>Experience resembling an <strong>AI Forward Deployed Engineer (AI FDE)</strong> is highly desirable.</p> <p>1. Palantir Foundry Core Skills</p> <p>Profiles should demonstrate hands-on experience across several of the following areas:</p> <p> <strong>Data Integration &amp; Engineering</strong> </p> <ul> <li>Data Connections / external source integrations</li> <li>Pipeline Builder</li> <li>Code Repositories</li> <li>Python / PySpark transformations</li> <li>Dataset modelling and transformations</li> <li>Data quality, lineage and dependency management</li> <li>Contour analysis</li> <li>Quiver analysis</li> <li>Foundry Automate </li> </ul> <p>Candidates with strong traditional <strong>Data Engineering</strong> experience in addition to Palantir should receive additional preference.</p> <p>2. Ontology Critical Skill</p> <p> <strong>Strong Ontology knowledge is one of the most important screening criteria.</strong> </p> <p>Look for candidates who understand:</p> <ul> <li>Ontology Object Types</li> <li>Properties</li> <li>Relationships / Links</li> <li>Actions</li> <li>Functions</li> <li>Interfaces</li> <li>Object-backed applications</li> <li>Mapping datasets/data models into Ontology</li> <li>Designing Ontology around business concepts rather than simply exposing database tables </li> </ul> <p>The candidate should understand how Ontology acts as the <strong>business/semantic layer connecting data, applications, workflows and AI</strong>.</p> <p>A candidate who has extensive Foundry experience but little understanding of Ontology should <strong>not automatically be considered a strong Palantir profile</strong>.</p> <p>3. Palantir Application Development</p> <p>We want candidates who can build applications on top of the data and Ontology.</p> <p>Look for:</p> <ul> <li>Workshop</li> <li>Application development using Ontology</li> <li>Actions and workflows</li> <li>Functions developed through Code Repositories</li> <li>Developer Console</li> <li>React / TypeScript application development</li> <li>Building custom applications using Ontology APIs</li> <li>Integration of applications with external/internal enterprise systems </li> </ul> <p>Strong general software engineering or application-development experience is a significant advantage.</p> <p>4. AIP / AI Capabilities</p> <p>Candidates should have a good understanding of <strong>Palantir AIP</strong> and preferably hands-on experience with:</p> <ul> <li>AIP Logic</li> <li>LLM-powered workflows</li> <li>Agents / AI workflows</li> <li>Using Ontology as context for AI</li> <li>Tool/function calling</li> <li>AIP applications</li> <li>AI-driven Actions</li> <li>Human-in-the-loop workflows</li> <li>AI governance and access controls</li> <li>MCP / Model Context Protocol</li> <li>Connecting AI workflows with external systems and tools </li> </ul> <p>We prefer candidates who understand <strong>how AI is operationalized against enterprise data and business processes</strong>, rather than candidates whose AI knowledge is limited to prompting an LLM.</p> <p>5. Programming &amp; Data Engineering</p> <p>Strong programming ability is expected.</p> <p> <strong>High Priority</strong> </p> <ul> <li>Python</li> <li>PySpark</li> <li>SQL</li> <li>Data transformations</li> <li>Data modelling</li> <li>ETL/ELT concepts</li> <li>Large-scale data processing </li> </ul> <p> <strong>Additional Advantage</strong> </p> <ul> <li>React</li> <li>TypeScript / JavaScript</li> <li>REST APIs</li> <li>Backend/application development</li> <li>Cloud platforms</li> <li>Databricks / Spark or similar data platforms </li> </ul> <p>A strong <strong>Data Engineering background is a definite plus</strong>.</p> <p>Preferred Candidate Profile</p> <p>The strongest candidates will have a combination of three areas:</p> <p> <strong>Application Engineering + Data Engineering + AI Engineering</strong></p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Analyze and understand business needs and transform them into data opportunities</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Working closely with the various departments within the company and helping them express their needs, discover the challenges</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaborating with technical teams to extract data from various available sources (platform, databases, files, APIs, etc.)</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Implementation of end-to-end data science solutions to solve business problems</font></font></li> </ul> <p> <b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Benefits</font></font></b> </p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Opportunity to work on varied and stimulating projects.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Career development prospects within the company.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Continuous development of technical and analytical skills.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">A work environment conducive to innovation and collaboration.</font></font></li> </ul><p><strong>Desired Candidate Profile</strong></p><ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Master's degree (Bac +5 level) in Computer Science, Telecommunications, Electronics, Mathematics, Operations Research, Artificial Intelligence or Data Science.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Strong programming skills (Python, R).</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Mastery of machine learning techniques and statistical modeling.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience with databases and data visualization tools.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Excellent analytical and problem-solving skills.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Good written and oral communication skills.</font></font></li> </ul>

<ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Design, develop and optimize artificial intelligence models (machine learning, deep learning).</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Analyze and process massive amounts of data to extract relevant insights.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Participate in the deployment of AI solutions and ensure their maintenance.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaborating with the business and technical teams to define needs and propose suitable solutions.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Technological monitoring of new AI methods and tools.</font></font></li> </ul> <p> <b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Required skills:</font></font></b> </p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Mastery of programming languages ​​(Python, R, Java, etc.).</font></font></li> <li>Connaissance des frameworks IA (TensorFlow, PyTorch, Scikit-learn).</li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Strong skills in applied mathematics and statistics.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience in data processing (SQL, NoSQL, Spark).</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ability to popularize and present technical results from non-experts.</font></font></li> </ul><p><strong>Desired Candidate Profile</strong></p><p> <b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Search profile:</font></font></b> </p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Engineering degree or master's degree in computer science, applied mathematics or equivalent.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Proven experience in AI or data science projects.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Analytical mind, rigor and scientific curiosity.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Good interpersonal skills and ability to work in a team.</font></font></li> </ul>

<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Provide administration, supervision, diagnostics, and maintenance for BNG/CGNAT/DNS/AAA platforms. Participate in the design, integration, and evolution of services. Guarantee the availability and performance of network platforms.</font></font></p><p><strong>Desired Candidate Profile</strong></p><h3><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit; font-weight: normal;">Engineering degree or Master's degree in Computer Science or Telecommunications. Desired professional experience: Experience in a network environment with an operator or ISP is an asset. Practical knowledge of BNG/BRAS, CGNAT, DNS, AAA, BSS/OSS, and router platforms. Participation in integration, operation, or migration projects for ISP or operator services. Required technical skills: Proficiency in IP protocols (IPv4/IPv6), DHCP, PPPoE, RADIUS, DNS, and SNMP. Knowledge of IP access and core network architectures (BNG, BRAS, CGNAT). Strong command of Linux/Unix environments. Strong command of DBMS environments. Knowledge of virtualization, cloud computing, and scripting (Python, Bash, Shell). Ability to analyze network traces and system logs. Soft skills: Analytical mindset, methodical approach, and rigor. Ability to work in a multidisciplinary team. Good communication and technical writing skills (in French and English).</font></font><p></p></h3>

<p>Nutanix Engineer / Networking IT Support Engineer (Break &amp; Fix Support) Location: Algiers, Bejaia, El Biar, Hassi R'Mel, Laghouat, Ouargla Employment Type: Freelance (On-Call Basis) Priority: High (Immediate Hiring) Role Overview We are seeking an experienced Nutanix Engineer / Networking IT Support Engineer to provide Break &amp; Fix support services across enterprise infrastructure environments. This freelance, on-call role requires a highly skilled professional who can diagnose, troubleshoot, and resolve hardware, network, and infrastructure-related incidents efficiently while maintaining a high level of customer service and professionalism. The ideal candidate will possess strong technical expertise in Nutanix and networking technologies, hold a valid CCNA certification, and demonstrate excellent communication skills with fluent English proficiency.</p><h3>Key Responsibilities</h3><ul><li>Provide onsite and remote Break &amp; Fix support for networking and infrastructure-related incidents.</li><li>Deploy, configure, and manage Nutanix HCI environments (AOS, AHV, Prism).</li><li>Perform system upgrades, patching, and lifecycle management activities.</li><li>Troubleshoot and resolve hardware, software, virtualization, and network issues.</li><li>Diagnose and resolve network connectivity problems involving TCP/IP, VLANs, DNS, DHCP, and related technologies.</li><li>Implement and support backup and disaster recovery solutions.</li><li>Respond to critical incidents and service requests within agreed response times.</li><li>Collaborate with global and regional teams on infrastructure and cloud-related projects.</li><li>Maintain accurate technical documentation, incident reports, and service records.</li><li>Ensure professional interaction with end users, stakeholders, and customers at all times.</li></ul><h3>Required Skills &amp; Experience</h3><ul><li>Minimum 5 years of experience in infrastructure, virtualization, networking, or IT support engineering.</li><li>Strong hands-on experience with the Nutanix ecosystem (AOS, AHV, Prism).</li><li>Experience supporting VMware and/or Hyper-V environments.</li><li>Solid understanding of networking fundamentals, including TCP/IP, VLANs, DNS, DHCP, routing, and switching.</li><li>Proven experience providing Break &amp; Fix support in enterprise environments.</li><li>Ability to diagnose and resolve complex infrastructure and networking issues.</li><li>Experience with backup and disaster recovery solutions.</li><li>Scripting experience with PowerShell and/or Python is advantageous.</li></ul><h3>Mandatory Requirements</h3><ul><li>Valid CCNA Certification (Cisco Certified Network Associate).</li><li>Minimum 90% pass score on the induction assessment.</li><li>Fluent English communication skills (spoken and written).</li><li>Ability to work independently in customer-facing environments.</li><li>Professional demeanor and strong customer service orientation.</li></ul><h3>Preferred Qualifications</h3><ul><li>Nutanix Certification (NCP or higher).</li><li>Experience with cloud platforms such as AWS, Azure, or GCP.</li><li>Knowledge of automation tools such as Ansible and Terraform.</li><li>Experience supporting enterprise networking infrastructure.</li></ul><h3>Soft Skills</h3><ul><li>Excellent verbal and written communication skills in English.</li><li>Strong professionalism and customer-facing skills.</li><li>Ability to remain calm and effective during critical incidents.</li><li>Proactive problem-solving mindset.</li><li>Strong organizational and time-management skills.</li><li>Ability to work collaboratively within distributed teams.</li><li>Commitment to delivering high-quality technical support and customer satisfaction.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum 5 years of experience in infrastructure, virtualization, networking, or IT support engineering.</li><li>Strong hands-on experience with the Nutanix ecosystem (AOS, AHV, Prism).</li><li>Experience supporting VMware and/or Hyper-V environments.</li><li>Solid understanding of networking fundamentals, including TCP/IP, VLANs, DNS, DHCP, routing, and switching.</li><li>Proven experience providing Break &amp; Fix support in enterprise environments.</li><li>Ability to diagnose and resolve complex infrastructure and networking issues.</li><li>Experience with backup and disaster recovery solutions.</li><li>Scripting experience with PowerShell and/or Python is advantageous.</li><li>Valid CCNA Certification (Cisco Certified Network Associate).</li><li>Minimum 90% pass score on the induction assessment.</li><li>Fluent English communication skills (spoken and written).</li><li>Ability to work independently in customer-facing environments.</li><li>Professional demeanor and strong customer service orientation.</li><li>Nutanix Certification (NCP or higher).</li><li>Experience with cloud platforms such as AWS, Azure, or GCP.</li><li>Knowledge of automation tools such as Ansible and Terraform.</li><li>Experience supporting enterprise networking infrastructure.</li><li>Excellent verbal and written communication skills in English.</li><li>Strong professionalism and customer-facing skills.</li><li>Ability to remain calm and effective during critical incidents.</li><li>Proactive problem-solving mindset.</li><li>Strong organizational and time-management skills.</li><li>Ability to work collaboratively within distributed teams.</li><li>Commitment to delivering high-quality technical support and customer satisfaction.</li></ul>

<ul> <li> <b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Developing AI models:</font></font></b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> design, development and implementation of artificial intelligence models (Machine Learning, Deep Learning) to meet the needs of the company.</font></font></li> <li> <b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Data preparation:</font></font></b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Perform data preprocessing (cleaning, normalization, transformation) and collaborate with the Data Engineering teams to ensure the quality of the data used for model training.</font></font></li> <li> <b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Analyze and evaluate model performance:</font></font></b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Implement tests to assess the accuracy, robustness, and performance of AI models. Propose adjustments to optimize their effectiveness.</font></font></li> <li> <b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Inter-team collaboration:</font></font></b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Working closely with Data Science, Infrastructure and business teams to ensure the integration of AI models into existing business processes.</font></font></li> <li> <b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Technical documentation:</font></font></b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Write and maintain documentation of developed models, analysis processes, and results obtained, in order to facilitate their understanding and reproducibility.</font></font></li> </ul> <p> <b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Benefits</font></font></b> </p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">A first significant experience in the field of AI.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Varied and stimulating missions.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Opportunities for professional development.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">A work environment conducive to learning and skills development.</font></font></li> </ul><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Algiers Bab Ezzouar</font></font><p><strong>Desired Candidate Profile</strong></p><ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Master's degree (Bac +5 level) in Computer Science, Mathematics, Operations Research, Artificial Intelligence or Data Science.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Solid foundation in machine learning and deep learning algorithms.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Knowledge of common programming languages ​​in AI (Python, R, etc.).</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ability to work in a team and communicate effectively.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Strong intellectual curiosity and desire to learn.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Proactivity and autonomy in task management.</font></font></li> </ul>