Python Developer Jobs in Saudi

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project.</p><p>As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p><p>Key Responsibilities:</p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.</p><p>We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.</p><p>A methodical, detail-oriented approach and the ability to work independently are essential.</p><p>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</p><p>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</p><p>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</p><p>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</p><p>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</p><p>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</p><p>Strong attention to detail and commitment to data accuracy</p><p>Self-directed work ethic with ability to troubleshoot independently</p><p>A link to GitHub is a plus</p><p>English proficiency: Upper-intermediate (B2) or above (required)</p><p></p></section>

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

المهام والمسؤوليات:• تطوير وتخصيص أنظمة Odoo بما يتوافق مع متطلبات العمل.• تصميم وتطوير Modules جديدة وتحسين الوحدات الحالية.• ربط نظام Odoo مع الأنظمة والتطبيقات الأخرى (Integrations).• معالجة الأخطاء البرمجية وتحسين أداء النظام.• إعداد وتحديث التقارير ولوحات المتابعة (Dashboards).• تقديم الدعم الفني للمستخدمين وحل المشكلات التقنية.• توثيق الأعمال البرمجية والتطويرات المنفذة.• التعاون مع الإدارات المختلفة لتحليل المتطلبات وتحويلها إلى حلول تقنية فعالة.المتطلبات:• خبرة عملية في تطوير نظام Odoo.• إجادة لغة Python وإطار عمل Odoo.• خبرة في Postgre SQL.• معرفة جيدة بتطوير واجهات المستخدم (XML / Java Script).• القدرة على تحليل المتطلبات وتحويلها إلى حلول تقنية.• مهارات جيدة في حل المشكلات والعمل ضمن فريق.يفضل المتواجدون داخل المملكة العربية السعودية.

We are hiring an Odoo implementer. Location: Saudi Arabia Responsibilities This is a full-time on-site role for an Odoo implementer at Visions. The candidate will be responsible for- implementation of Odoo ERP solutions tailored to meet the specific needs of our business Collaborate with clients to gather requirements and analyze their business processes. Customize, configure, and implement Odoo modules based on client needs. Qualifications Bachelor's degree in Business, Business Administration, Accounting, computer Science or related field.1–3 years of experience as an Odoo ERP Implementer role.knowledge of Odoo ERP system architecture. Excellent communication and interpersonal skills. Good knowledge of Python with hands-on experience.

<p>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. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p><strong>What We Do</strong></p><p>The Mindrift platform connects specialists with innovative technology projects. 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.</p><p><strong>About the Role</strong></p><p>This is a freelance role for a Tendem project. 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.</p><p><strong>Key Responsibilities</strong></p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p><strong>Educational qualifications</strong></p><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li></ul><p><strong>Academic and/or Professional Experience</strong></p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential.</p><p><strong>Technical Skills (Essential)</strong></p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p><strong>Additional requirements</strong></p><ul><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul><p><strong>Project time expectations</strong></p><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li><li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential.</li><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a Technical Lead for Resilience Engineering to drive chaos engineering strategy, define best practices, and lead resilience initiatives across hybrid infrastructure environments.</p><p>Key Responsibilities</p><ul><li>Define and own chaos engineering strategy and roadmap</li><li>Lead design of advanced chaos experiments (multi-layer: infra, network, application)</li><li>Mentor engineers in resilience and chaos practices</li><li>Standardize frameworks for automated chaos testing</li><li>Drive adoption of resilience practices across engineering teams</li><li>Collaborate with architecture teams to embed resilience into system design</li><li>Define SLIs, SLOs, and error budgets aligned with reliability goals</li><li>Lead game days/failure simulations</li><li>Drive observability maturity across systems</li></ul><p>Required Skills</p><ul><li>7+ years in SRE/DevOps/Platform Engineering</li><li>Strong expertise in Chaos Engineering (must-have)</li><li>Proven experience in designing custom chaos platforms or frameworks</li><li>Strong programming background (Python / Go preferred)</li><li>Deep experience with:<ul><li>On-prem systems (primary)</li><li>Distributed systems architecture</li><li>Networking and failure injection</li></ul></li><li>Observability leadership experience:<ul><li>Metrics, tracing, logging strategies</li></ul></li><li>Experience with hybrid environments (on-prem + cloud integration)</li></ul><p>Leadership Expectations</p><ul><li>Ability to influence cross-functional teams</li><li>Define engineering standards and best practices</li><li>Drive cultural shift toward resilience-first engineering</li></ul><p>Good to Have</p><ul><li>Experience with large-scale enterprise systems</li><li>Exposure to compliance, DR, and BCP strategies</li><li>Kubernetes chaos testing experience</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Must-have Skills:</strong> Resiliency, SRE</p><p><strong>Good To Have Skills :</strong></p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About Us</strong></p><br><p>Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.</p><br><p>Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.</p><br><p><em><strong>Research sits centrally and serves every vertical at Tamara. We're now expanding the function. The next chapter brings quantitative research, market research, and cultural research fully in-house, so that we can triangulate across methods and produce more comprehensive, decision-ready insights for teams across Tamara.&amp;nbsp;This is a role at the intersection of behavioural data and user research. You'll work alongside qualitative researchers to bring quantitative rigour to how we understand customers, their journeys, and the products they use.</strong></em></p><br><p>The successful candidate will have experience developing analytical solutions and assisting with data-driven decision making, while managing stakeholders across a broad range of functions. Tamara is a high growth startup looking to develop key product success metrics and enhancing decision making through data.&amp;nbsp;</p><br><p><strong>Your Responsibilities</strong></p><br><ul><li>Drive business impact through actionable insights and identifying key opportunities for rapid growth</li><li>Build dashboards that provide accurate and actionable insights</li><li>Work with the data engineering team on the data enrichment needs of the product team</li><li>Work with stakeholders across the business to prioritize projects based on impact and drive delivery</li><li>Developing a process to identify, analyse, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholders</li><li>Ensuring governance and being a steward of good analytical practices throughout the process</li></ul><p><strong>Your Expertise</strong></p><br><ul><li>6+ years of experience in data analytics</li><li>Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science or other analytical field. Graduates from other fields with relevant knowledge and experience are welcome to apply.</li><li>Hands on experience using programming (Python, R) to manipulate large data sets for insights</li><li>Demonstrated proficiency in one or more implementations of SQL (e.g. MySQL, PostgreSQL)</li><li>Display understanding of your domain of interest - Whether its Finance, Risk, or Product</li><li>Experience using Machine Learning tools and techniques in R or Python a plus!</li><li>Experience using one or more data visualization tools (e.g. Tableau, PowerBI, Qlik)</li><li>Experience creating data visualizations and dashboards with Apache Superset a bonus</li><li>Experience in a high-growth startup or unicorn a bonus!</li></ul><p>All qualified individuals are encouraged to apply.</p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">TMC Middle East is seeking a skilled Business Data Analyst to support a project for a key client in Saudi Arabia. This full-time position requires a professional with a strong background in data analysis and business intelligence to contribute to the successful delivery of this assignment.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <p style="margin:0 0 12px; ************;">The Business Data Analyst will be responsible for:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Developing and executing data preparation workflows.</li> <li style="margin:0 0 6px;">Performing data analysis using Python libraries such as pandas and NumPy.</li> <li style="margin:0 0 6px;">Writing and optimizing SQL queries for data extraction and aggregation.</li> <li style="margin:0 0 6px;">Creating comprehensive dashboards and reports to visualize data insights.</li> <li style="margin:0 0 6px;">Communicating analytical findings effectively to diverse audiences.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3> <p style="margin:0 0 12px; ************;">Candidates must meet the following essential criteria:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Fluency in Arabic, both spoken and written, is mandatory.</li> <li style="margin:0 0 6px;">A minimum of 5 years of experience in a data analyst or business intelligence role.</li> <li style="margin:0 0 6px;">Hands-on experience building data preparation workflows using Alteryx.</li> <li style="margin:0 0 6px;">Proficiency in Python for data analysis (*, pandas, NumPy).</li> <li style="margin:0 0 6px;">Experience working with Google Cloud Platform, specifically BigQuery.</li> <li style="margin:0 0 6px;">Strong SQL skills for data querying and manipulation.</li> <li style="margin:0 0 6px;">Experience in creating dashboards and reports using tools like Power BI or Tableau.</li> <li style="margin:0 0 6px;">Demonstrated strong analytical thinking and meticulous attention to detail.</li> <li style="margin:0 0 6px;">The ability to clearly articulate insights to both technical and non-technical stakeholders.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Skills and Experience</h3> <p style="margin:0 0 12px; ************;">The following qualifications are considered advantageous:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Alteryx Designer certification.</li> <li style="margin:0 0 6px;">Experience with statistical analysis or basic predictive modeling techniques.</li> <li style="margin:0 0 6px;">Familiarity with version control systems like Git and collaborative analytics workflows.</li> <li style="margin:0 0 6px;">A relevant degree in a quantitative or business-related field.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Context</h3> <p style="margin:0 0 12px; ************;">This is a full-time position based in Saudi Arabia. The role involves working on a project for a prestigious customer, requiring close collaboration within a project team.</p>

<p>About the role : Integration Engineer IBM DataPower &amp; CP4I : 8+ years : Riyadh Saudi Arabia : 6 Months (Extendable) : Currently staying in Saudi with valid Iqama</p><p><strong>Deep expertise in AAA, OAuth2/SAML, JWT, TLS/mTLS, GatewayScript, and XSLT.</strong></p><p><strong>Strong hands-on experience with API Connect, MQ, App Connect, and Event Streams.</strong></p><p><strong>Proven ability to design, build, and secure APIs using OpenAPI/Swagger, with proficiency in XML/JSON transformations and protocol bridging.</strong></p><p><strong>Experience in full API lifecycle management, policy enforcement, developer portal setup, and usage analytics.</strong></p><p><strong>Skilled in OpenShift-integrated CP4I deployments, certificate management, networking, API security, and observability (logging/monitoring/tracing).</strong></p><p><strong>Automation &amp; Scripting: Familiarity with scripting (Shell, Python) and CI/CD pipelines for integration artifacts.</strong></p><p>Preferred Qualifications Experience with ADFS, Nafath, or other national SSO frameworks. Knowledge of Kafka/Event Streams and asynchronous messaging patterns. IBM DataPower or CP4I certification is a plus.</p><p>Key responsibilities Experience in full API lifecycle management</p><p>What we're looking for Deep expertise in AAA, OAuth2/SAML, JWT, TLS/mTLS, GatewayScript, and XSLT.</p><p><strong>Desired Candidate Profile</strong></p><p>Deep expertise in AAA, OAuth2/SAML, JWT, TLS/mTLS, GatewayScript, and XSLT. Strong hands-on experience with API Connect, MQ, App Connect, and Event Streams. Proven ability to design, build, and secure APIs using OpenAPI/Swagger, with proficiency in XML/JSON transformations and protocol bridging. Experience in full API lifecycle management, policy enforcement, developer portal setup, and usage analytics. Skilled in OpenShift-integrated CP4I deployments, certificate management, networking, API security, and observability (logging/monitoring/tracing). Automation &amp; Scripting: Familiarity with scripting (Shell, Python) and CI/CD pipelines for integration artifacts.</p><p>Preferred Qualifications Experience with ADFS, Nafath, or other national SSO frameworks. Knowledge of Kafka/Event Streams and asynchronous messaging patterns. IBM DataPower or CP4I certification is a plus.</p>

<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments:</p><p>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</p><p>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</p><p>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient</p><p>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust</p><p>What this is NOT:</p><ul><li>Not data labeling</li><li>Not prompt engineering</li><li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate</li></ul><p>What we look for:</p><ul><li>5+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>A Master's Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields. Bachelor's degree is accepted if only candidate has 5 years of experience in the field.</li><li>Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles</li><li>5+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Jobs AI is seeking a <strong style="font-weight:700;">Data Scientist AI/ML</strong> to work on a contract basis for one of our clients in Saudi Arabia. This role focuses on developing and deploying machine learning models to improve predictive accuracy across various client datasets. The successful candidate will collaborate with cross-functional teams to identify and implement data-driven solutions, contributing to the automation of workflows.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design, train, and optimize machine learning models for classification, regression, and clustering tasks.</li> <li style="margin:0 0 6px;">Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.</li> <li style="margin:0 0 6px;">Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.</li> <li style="margin:0 0 6px;">Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.</li> <li style="margin:0 0 6px;">Present findings and recommendations to stakeholders through clear visualizations and technical reports.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience and Qualifications</h3> <p style="margin:0 0 12px; ************;">Candidates for this position should have <strong style="font-weight:700;">2-5 years of experience</strong> in data science or machine learning. Essential qualifications include practical experience in designing, training, and deploying machine learning models, as well as proficiency in data preprocessing and analysis. Familiarity with MLOps principles and tools, including Python, Jupyter notebooks, and version control systems, is required.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Opportunity</h3> <p style="margin:0 0 12px; ************;">This contract role offers the opportunity to work with a global leader in the Software Development industry. The position provides exposure to cutting-edge tools and fosters collaboration with experts in data science and engineering, contributing directly to the scalability of AI-driven solutions.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Compensation</h3> <p style="margin:0 0 12px; ************;">The compensation for this contract position is offered at a rate of <strong style="font-weight:700;">$30 to $100 per hour</strong>, depending on experience and qualifications.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Equal Opportunity Employer</h3> <p style="margin:0 0 12px; ************;">Jobs AI is committed to equal opportunity employment. We hire based on skills and expertise, welcoming all qualified candidates regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Hire Feed is seeking a <strong style="font-weight:700;">Machine Learning Engineer</strong> for one of its clients. This is a contract position focused on designing, developing, and deploying machine learning models to address complex business challenges. The role offers a competitive hourly rate ranging from <strong style="font-weight:700;">$20 to $90</strong>, based on experience and qualifications.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Context and Contribution</h3> <p style="margin:0 0 12px; ************;">The Machine Learning Engineer will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. This position contributes to the development of AI-driven solutions that enhance operational efficiency and customer experiences within a global leader in the technology industry.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design and implement machine learning models using Python, TensorFlow, or PyTorch to address specific business problems.</li> <li style="margin:0 0 6px;">Collaborate with data scientists and software engineers to deploy models into production environments.</li> <li style="margin:0 0 6px;">Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.</li> <li style="margin:0 0 6px;">Develop and maintain pipelines for data preprocessing, feature engineering, and model training.</li> <li style="margin:0 0 6px;">Conduct experiments to evaluate model performance and iterate on improvements based on business needs.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience and Skills</h3> <p style="margin:0 0 12px; ************;">Candidates should possess <strong style="font-weight:700;">2 to 5 years</strong> of experience in a relevant machine learning engineering role. The position requires demonstrated expertise in Python, various machine learning frameworks, and cloud platforms.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Impact</h3> <p style="margin:0 0 12px; ************;">This role involves working with a global leader in the technology industry, contributing to the development of AI-driven solutions. The engineer will focus on solving high-impact problems using cutting-edge tools and methodologies.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Equal Opportunity Employer</h3> <p style="margin:0 0 12px; ************;">Hire Feed is an equal opportunity employer. Hiring decisions are based on skills and expertise. All qualified candidates are welcome, irrespective of background, prior experience, or employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Opportunity</h3> <p style="margin:0 0 12px; ************;">Hire Feed is recruiting for a <strong style="font-weight:700;">Machine Learning Engineer</strong> to join one of our clients in Saudi Arabia. This is a contract position focused on designing, developing, and deploying machine learning models to address complex business challenges. The role requires collaboration with cross-functional teams to integrate AI solutions into existing systems and optimize model performance.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design and implement machine learning models using Python, TensorFlow, or PyTorch to solve specific business problems.</li> <li style="margin:0 0 6px;">Collaborate with data scientists and software engineers to deploy models effectively into production environments.</li> <li style="margin:0 0 6px;">Optimize and fine-tune models to ensure scalability, accuracy, and efficiency in real-world applications.</li> <li style="margin:0 0 6px;">Develop and maintain robust pipelines for data preprocessing, feature engineering, and model training.</li> <li style="margin:0 0 6px;">Conduct experiments to evaluate model performance and iterate on improvements based on business requirements.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Skills</h3> <p style="margin:0 0 12px; ************;">Candidates for this role should possess <strong style="font-weight:700;">2-5 years of experience</strong> in machine learning engineering or a related field. Essential expertise includes proficiency in Python, various machine learning frameworks, and cloud platforms. The ability to apply these skills to solve practical business problems is critical.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Details and Compensation</h3> <p style="margin:0 0 12px; ************;">This is a <strong style="font-weight:700;">contract position</strong> based in Saudi Arabia. The compensation for this role ranges from <strong style="font-weight:700;">$20 to $90 per hour</strong>, commensurate with experience and qualifications. The work involves contributing to a global leader in the technology industry.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Impact</h3> <p style="margin:0 0 12px; ************;">This position offers the opportunity to contribute to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The role involves addressing high-impact problems through the application of current tools and methodologies within a dynamic technology environment.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Commitment to Equal Opportunity</h3> <p style="margin:0 0 12px; ************;">Hire Feed is committed to equal opportunity employment. All qualified candidates are encouraged to apply, irrespective of their background, experience, or prior employment history. Applications are evaluated solely on demonstrated technical ability and relevant qualifications.</p>

<p><strong>مسمى الوظيفي المقترح:</strong><br><strong>AI Automation &amp; Systems Engineer — مهندس ذكاء اصطناعي وأتمتة أنظمة</strong></p><p><strong>وصف الوظيفة</strong></p><p>نبحث عن مهندس تقني عملي وذكي يتولى <strong>المسؤولية التقنية الشاملة عن أنظمة الشركة وأتمتتها وربطها بالذكاء الاصطناعي</strong>، بحيث يكون مسؤولاً عن تحويل العمليات اليدوية والمتكررة إلى أنظمة مترابطة تعمل بأعلى قدر ممكن من الأتمتة والاستقلالية.</p><p>الدور ليس متخصص ذكاء اصطناعي نظري فقط، بل <strong>مهندس مشروع تقني شامل</strong> يستطيع فهم احتياجات العمل، تنفيذ الحلول، ربط الأنظمة، إصلاح المشاكل، ومتابعة التشغيل من البداية حتى الاستقرار.</p><p>سيكون مسؤولاً عن المنظومة التقنية كاملة، بما يشمل:</p><ul><li><p>الموقع الإلكتروني والـ Backend والـ APIs.</p></li><li><p>تطبيقات iOS وAndroid ومتابعة التكاملات المتعلقة بها.</p></li><li><p>تصميم وتنفيذ أنظمة الأتمتة وسير العمل.</p></li><li><p>استخدام الذكاء الاصطناعي وAI Agents لتشغيل ومتابعة أعمال الشركة.</p></li><li><p>ربط خدمات الطرف الثالث والأنظمة الخارجية عبر APIs وWebhooks.</p></li><li><p>أتمتة العمليات الداخلية والإدارية والتشغيلية.</p></li><li><p>ربط CRM وERP وقواعد البيانات والأنظمة المختلفة ببعضها.</p></li><li><p>بناء حلول باستخدام أدوات مثل <strong>n8n / Make / APIs / Webhooks / Python</strong> وغيرها.</p></li><li><p>دمج نماذج الذكاء الاصطناعي مثل OpenAI وClaude وGemini وغيرها عند الحاجة.</p></li><li><p>مراقبة الأنظمة واكتشاف الأعطال ومعالجتها.</p></li><li><p>إدارة التكامل بين الموقع والتطبيق والخدمات السحابية والأنظمة الخارجية.</p></li><li><p>تحسين الأداء والأمان والاستقرار وتقليل التدخل البشري قدر الإمكان.</p></li><li><p>توثيق الأنظمة والتكاملات المهمة لضمان سهولة إدارتها مستقبلاً.</p></li><li><p>تقييم الأدوات والتقنيات الجديدة واختيار الحل الأنسب من ناحية <strong>التكلفة والجودة وسهولة التشغيل</strong>.</p></li><li><p>تحمل مسؤولية الوصول إلى <strong>نتيجة نهائية تعمل فعلياً</strong> وليس مجرد كتابة كود أو تقديم اقتراحات</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p></p></li></ul><p><strong>ة</strong></p><p>نبحث عن شخص لديه خبرة عملية جيدة في مجموعة من المجالات التالية:</p><ul><li><p>Python وBackend Development.</p></li><li><p>REST APIs وWebhooks.</p></li><li><p>قواعد البيانات SQL أو NoSQL.</p></li><li><p>AI APIs وLLM Integration.</p></li><li><p>AI Agents وAutomation.</p></li><li><p>n8n أو Make أو أدوات مشابهة.</p></li><li><p>Git / GitHub.</p></li><li><p>Cloud Deployment وLinux.</p></li><li><p>فهم جيد لتطبيقات Web وMobile.</p></li><li><p>القدرة على التعامل مع React / Flutter أو التعاون معها عند الحاجة.</p></li><li><p>التكامل مع خدمات الدفع والإشعارات والمصادقة والطرف الثالث.</p></li><li><p>القدرة على تشخيص المشاكل التقنية وحلها بشكل مستقل.</p></li></ul><p></p>

Job Title - NOC Engineer - Satellite operation Location - Jeddah KSADuration - 12+ months<br>Experience2–5 years in NOC operations, telecom monitoring, satellite operations, or core‑network support. Experience working with signaling flows, routing tables, authentication paths, or mobile‑core elements. Hands‑on exposure to multi‑vendor NOC operations, incident workflows, and partner escalations. Required Technical Expertise Strong understanding of signaling (e.g., Diameter, SIP, NAS), routing fundamentals, and core‑network behavior. Knowledge of telecom connectivity flows (SIM activation, attach procedures, mobility, authentication). Experience analyzing logs, traces, routing tables, and event correlations across network elements. Familiarity with OSS/NMS tools, alarms, KPIs, dashboards, and monitoring platforms. Basic understanding of satellite network components, gateways, or hybrid RAN‑core flows is a plus. Hands‑on with Linux, basic scripting (Python/Bash), and troubleshooting tools.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>At least 4+ years of practical experience developing and implementing data approaches such as advanced analytics and Machine Learning. Proficient in Python and SQL (PySpark and programming languages such as Java are a plus). Knowledgeable in Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameters optimization and others. Experience in developing models for production and business application use. Knowledgeable in /or experience with Fintech/banking industry is a big plus. Basic knowledge in data engineering and ML model lifecycle. Strong business acumen in the financial sector (i.e., payments, acquiring, financial crime ). Highly motivated and like to work in a team and with advanced technologies in challenging environments. Excellent Communication Skills /English. Good Analytical Skills. Ability to communicate technical tasks to non-technical people. Ability to work in an agile environment and be a quick learner.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>At least 4+ years of practical experience developing and implementing data approaches such as advanced analytics and Machine Learning.</li><li>Proficient in Python and SQL (PySpark and programming languages such as Java are a plus).</li><li>Knowledgeable in Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameters optimization and others.</li><li>Experience in developing models for production and business application use.</li><li>Knowledgeable in /or experience with Fintech/banking industry is a big plus.</li><li>Basic knowledge in data engineering and ML model lifecycle.</li><li>Strong business acumen in the financial sector (i.e., payments, acquiring, financial crime ).</li><li>Highly motivated and like to work in a team and with advanced technologies in challenging environments.</li><li>Excellent Communication Skills /English.</li><li>Good Analytical Skills.</li><li>Ability to communicate technical tasks to non-technical people.</li><li>Ability to work in an agile environment and be a quick learner.</li><li>Willing to relocate.</li><li>Bachelor s degree in computer science, Computer Engineering, Information Technology or Mathematics.</li></ul><p></p></section>

Job Responsibilities:Assist in the design, development, testing, and maintenance of web and/or mobile applications Write clean, efficient, and well-documented code under the guidance of senior developers Participate in code reviews and learn best practices for software development Collaborate with cross-functional teams including QA, UI/UX, and product management Troubleshoot bugs and performance issues in existing applications Stay current with emerging technologies and industry trends<br>Required Competencies:Bachelor’s degree in Computer Science, Information Technology, or a related field Proficiency in at least one programming language (e.g., Java Script, Python, Java, C#, or similar) Familiarity with front-end or back-end frameworks (e.g., React, Angular, Node.js, Django, . NET) Understanding of basic software development lifecycle and version control (Git) Strong problem-solving skills and attention to detail Good communication skills and willingness to learn

Role Summary Ensure high availability, performance, and reliability of production systems through automation, cloud operations, monitoring, and incident management. Key Responsibilities- Build and manage scalable AWS cloud infrastructure using Terraform / Cloud Formation- Implement monitoring and observability using Prometheus, Grafana, Splunk, or Datadog- Handle incidents, RCA, on-call support, SLOs, SLIs, and error budgets- Automate operations to improve efficiency, reliability, and MTTR- Manage Kubernetes, Docker, CI/CD pipelines, runbooks, and ITIL processes Mandatory Skills- SRE / Dev Ops / Production Support with AWS cloud experience- Kubernetes, Docker, Linux, and networking fundamentals- Scripting using Python, Bash, or Go- Monitoring tools and incident / RCA management Preferred Skills- Terraform / Cloud Formation, Jenkins / Git Lab CI/CD, Service Now / ITSM- Cloud security tools and enterprise environment experience Experience5+ years in SRE / Dev Ops / Cloud / Production Support

Role Purpose<br>Manage in-house applications, support ongoing systems, and implement new programs aligned with business requirements.<br>Job Accountabilities<br>Support and maintain in-house developed systems Develop new applications and enhancements Maintain and optimize existing programs Take end-to-end ownership of assigned applications Analyze business requirements and design appropriate solutions Provide post-implementation support and troubleshooting<br><br>Role Requirements<br>Bachelor’s degree in Computer Science, Software Engineering, or a related field Minimum of 4 years of experience in software programming and application development Strong knowledge of SQLProgramming skills in Java / Python / C# / VB. NET / Flutter or similar Experience with Power BI and reporting tools. Basic knowledge of SAP S/4HANAStrong analytical and problem-solving skills

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As the trainer, you will be responsible for implementing a structured, hands-on learning experience that aligns with the project s defined scope of work, and learning objectives, ensuring every trainee gains both technical knowledge and real-world application skills.</p> <br> <p><strong> Mode of Delivery:</strong> On-site (In-person/Virtual Training Delivery)</p> <br> <p><strong>Qualifications &amp; Experience</strong></p> <ul> <li>Bachelor's degree in computer science, Data Science, Artificial Intelligence, or related field (master's preferred).</li> <li>TOT certified trainer or 5 years of experience training in the field.</li> <li>Proven experience in developing or delivering <strong>data science, AI, or machine learning</strong> training programs</li> <li>Strong command of tools and technologies such as <strong>Python, TensorFlow, PyTorch, SQL, Power BI, or similar</strong>.</li> <li>Experience mentoring real-world data or AI projects (industry or academic).</li> <li>Excellent facilitation and communication skills in both <strong>technical and non-technical contexts</strong>.</li> <li>Proven experience in delivering experiential and gamified training programs.</li> <li>Experience of working in the GCC region on similar projects is preferred.</li> <li>Ability to collaborate with SkillUp MENA s internal teams to ensure training quality, logistics coordination, and alignment with project deliverables.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in computer science, Data Science, Artificial Intelligence, or related field (master's preferred). TOT certified trainer or 5 years of experience training in the field. Proven experience in developing or delivering data science, AI, or machine learning training programs Strong command of tools and technologies such as Python, TensorFlow, PyTorch, SQL, Power BI, or similar. Experience mentoring real-world data or AI projects (industry or academic). Excellent facilitation and communication skills in both technical and non-technical contexts. Proven experience in delivering experiential and gamified training programs. Experience of working in the GCC region on similar projects is preferred. Ability to collaborate with SkillUp MENA s internal teams to ensure training quality, logistics coordination, and alignment with project deliverables.</p><p></p></section>