وظائف مطورين بايثون في السعودية

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Bachelor's degree in Electrical Engineering, Electronics Engineering, or a related field.</p><p>5-8 years of experience in electronic hardware, embedded systems, and PCB design.</p><p>Proficiency in PCB design tools such as Altium Designer or KiCad.</p><p>Experience with ARM, PIC, or AVR microcontrollers and embedded software development.</p><p>Strong knowledge of analog and digital circuit design, signal processing, and power electronics.</p><p>Experience designing DC-DC converters, motor drivers, and power management circuits.</p><p>Proficiency in C, C++, and Python programming languages.</p><p>Knowledge of communication protocols including SPI, I2C, UART, and CAN.</p><p>Familiarity with IPC standards and electronics manufacturing processes.</p><p>Experience using oscilloscopes, multimeters, logic analyzers, and other diagnostic equipment.</p><p>Ability to prepare technical documentation, schematics, and PCB layouts.</p><p>Good English communication skills and strong analytical abilities.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Electrical Engineering, Electronics Engineering, or a related field. 5-8 years of experience in electronic hardware, embedded systems, and PCB design. Proficiency in PCB design tools such as Altium Designer or KiCad. Experience with ARM, PIC, or AVR microcontrollers and embedded software development. Strong knowledge of analog and digital circuit design, signal processing, and power electronics. Experience designing DC-DC converters, motor drivers, and power management circuits. Proficiency in C, C++, and Python programming languages. Knowledge of communication protocols including SPI, I2C, UART, and CAN. Familiarity with IPC standards and electronics manufacturing processes. Experience using oscilloscopes, multimeters, logic analyzers, and other diagnostic equipment. Ability to prepare technical documentation, schematics, and PCB layouts. Good English communication skills and strong analytical abilities.</p><p></p></section>

<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><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 Jobs for Humanity</h3> <p style="margin:0 0 12px; ************;">Jobs for Humanity is committed to fostering an inclusive and equitable employment ecosystem. The organization collaborates with partners, including abdulaziz, to prioritize individuals from diverse backgrounds, aiming to build a workforce that reflects all walks of life.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3> <p style="margin:0 0 12px; ************;">Jobs for Humanity is seeking a <strong style="font-weight:700;">Full-Stack AI/ML Application Engineer</strong> to join a team in Dammam. This full-time position is suitable for candidates with 0-1 years of experience. The role focuses on designing and building end-to-end applications that integrate AI/ML and Large Language Model (LLM) capabilities into production-grade products.</p> <p style="margin:0 0 12px; ************;">The primary objective of this role is to own the engineering of reliable and scalable full-stack AI features. This encompasses model integration and deployment, API development, data pipeline management, performance and security optimization, and automated testing, with an emphasis on delivering measurable improvements in accuracy, latency, and system robustness.</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;">Develop full-stack applications, utilizing Python for backend services and TypeScript/JavaScript for frontend and services.</li> <li style="margin:0 0 6px;">Design and implement REST and/or GraphQL APIs.</li> <li style="margin:0 0 6px;">Integrate machine learning models using frameworks such as PyTorch and/or TensorFlow.</li> <li style="margin:0 0 6px;">Implement LLM integration and apply prompt engineering techniques.</li> <li style="margin:0 0 6px;">Deploy models effectively using tools like FastAPI and Docker.</li> <li style="margin:0 0 6px;">Design databases and manage data access, specifically with PostgreSQL and/or MongoDB.</li> <li style="margin:0 0 6px;">Perform cloud platform engineering tasks across AWS, GCP, and/or Azure.</li> <li style="margin:0 0 6px;">Take ownership of scalable APIs and data pipelines.</li> <li style="margin:0 0 6px;">Implement and maintain CI/CD pipelines and automated testing.</li> <li style="margin:0 0 6px;">Utilize version control systems, particularly Git.</li> <li style="margin:0 0 6px;">Optimize application performance and enhance security hardening.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Skills and Experience</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;">Proficiency in Python programming.</li> <li style="margin:0 0 6px;">Proficiency in TypeScript and/or JavaScript.</li> <li style="margin:0 0 6px;">Experience in building REST and/or GraphQL APIs.</li> <li style="margin:0 0 6px;">Hands-on experience integrating ML models using PyTorch and/or TensorFlow.</li> <li style="margin:0 0 6px;">Experience with LLM integration and prompt engineering.</li> <li style="margin:0 0 6px;">Experience deploying models, for example, with FastAPI and Docker.</li> <li style="margin:0 0 6px;">Experience with PostgreSQL and/or MongoDB databases.</li> <li style="margin:0 0 6px;">Experience with cloud platforms such as AWS, GCP, and/or Azure.</li> <li style="margin:0 0 6px;">Strong fundamentals in CI/CD and test automation.</li> <li style="margin:0 0 6px;">Solid version control skills using Git.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Location and Type</h3> <p style="margin:0 0 12px; ************;">This is a full-time position located in Dammam, Saudi Arabia.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Process</h3> <p style="margin:0 0 12px; ************;">Interested candidates are encouraged to submit their applications for this role.</p>

Senior Data Science Consultant – Cards Marketing Analytics???? Location: Jeddah, Saudi Arabia???? Work Mode: Onsite (Client Office)???? Contract Duration: 6 Months???? ???? Experience: 7+ Years<br>LOOKING FOR IMMEDIATE JOINERS<br>About the Role We are looking for an experienced Senior Data Science Consultant with a strong background in banking analytics, particularly in credit and debit card portfolios. The ideal candidate will leverage advanced analytics and machine learning to drive customer acquisition, engagement, retention, and portfolio growth while working closely with business stakeholders in a client-facing consulting environment.<br>Required Skills & Experience7+ years of experience in Data Science, Advanced Analytics, or Analytics Consulting. Strong banking domain expertise with hands-on credit & debit card analytics experience. Proven expertise in Marketing Analytics, Predictive Modeling, Customer Segmentation, Campaign & Portfolio Analytics, and Customer Behavior Analytics. Strong proficiency in Python, SAS, and SQL. Experience working with large banking datasets (customer, transaction, campaign, and behavioral data). Solid understanding of Statistical Modeling, Machine Learning, Model Validation, and Performance Monitoring. Strong communication, stakeholder management, and client-facing consulting skills. Experience collaborating with Marketing, Product, Risk, and Data teams.<br>Preferred Qualifications Currently based in Saudi Arabia (Jeddah preferred). Experience in the Saudi/GCC banking sector. Hands-on experience with card lifecycle analytics (Acquisition, Activation, Spend Growth, Engagement, Retention, and Attrition). Knowledge of A/B Testing, Uplift Modeling, Next Best Action (NBA), Offer Optimization, and CLV Modeling. Experience with CRM, campaign management, marketing automation tools, and cloud-based analytics platforms.<br><br>Interested candidates can share cv at simmi@hiresquad.in

‏⁦Cipher | سايڤر is a cybersecurity solutions provider based in Riyadh, Saudi Arabia. The company's goal is to simplify the perception of complexity surrounding cybersecurity problems and solutions. Cipher's team of Saudi professionals and experts work tirelessly to develop, customize, and manage digital services and cybersecurity solutions to ensure their peace of mind. Our goal is to provide peace of mind to our clients by making digital security simple and efficient.⁩<br>⁦⁩Key Responsibilities:<br>⁦• Define scope and objectives of penetration tests with clients across systems, applications, and environments.• Perform manual penetration testing on web, mobile, APIs, cloud, and enterprise infrastructure.• Conduct advanced assessments including source code reviews, business logic testing, and red team simulations.• Simulate real-world attacks to evaluate detection and response capabilities.• Identify vulnerabilities, misconfigurations, and security gaps (onsite & remote).• Deliver clear, actionable technical reports with risk and business impact analysis.• Present findings to both technical teams and executive stakeholders.• Provide strategic recommendations to enhance security posture and reduce attack surface.• Stay up to date with emerging threats and frameworks (OWASP, MITRE ATT&CK).<br>⁦⁩Requirements:<br>⁦• Minimum 2+ years of hands-on experience** in penetration testing and cybersecurity.• Bachelor’s degree in computer science, Cybersecurity, IT, or related field.• Certifications such as **OSCP, e WPTX, CRTP** (or equivalent) are highly preferred.• Strong experience across web, mobile, cloud, and infrastructure security testing.• Solid skills in manual vulnerability discovery, code review, and adversary simulation.• Proficiency in scripting (Python, Power Shell, Bash).• Strong analytical, problem-solving, and communication skills.• Ability to translate technical findings into business risks and recommendations.

We are looking for an experienced Data Scientist to build, evaluate, and productionize predictive and intelligent models across ML, deep learning, NLP, and computer vision. The role focuses on developing production-ready models, maintaining statistical rigor, and translating insights into business outcomes.<br>Responsibilities:<br>Own model development, experimentation, evaluation, and production readiness. Develop forecasting, optimization, recommendation, decision-science, and ML models. Perform feature engineering, EDA, and statistical analysis to identify meaningful patterns. Design rigorous model evaluation, validation, and testing frameworks. Validate model performance, fairness, and bias before go-live. Manage experiment tracking, datasets, and model reproducibility using tools such as MLflow/W&B. Present model results, trade-offs, and uncertainty to business stakeholders. Collaborate with ML Engineers and Architects to productionize models. Lead complex decision-intelligence engagements when required. Mentor junior Data Scientists and ML Engineers.<br>Qualifications:<br>5+ years of applied Data Science experience with production model-shipping experience. Strong expertise in classical/statistical ML, forecasting, optimization, and deep learning. Experience with NLP, Computer Vision, graph-based features, or knowledge graphs is a plus. Strong Python, SQL, and experience with scikit-learn, PyTorch/Tensor Flow, MLflow, or Weights & Biases. Strong knowledge of hypothesis testing, confidence intervals, and causal inference. Familiarity with fairness/bias evaluation and explainability tools such as SHAP and LIME. Strong communication skills with the ability to explain technical concepts and model trade-offs to business stakeholders. Ability to defend modeling decisions and collaborate closely with engineering and architecture teams.

Master Works is seeking a skilled AI, Engineer to design, develop, and deploy artificial intelligence and machine learning solutions that solve real-world business problems. The ideal candidate has strong experience in machine learning, data engineering, and software development, and is comfortable taking models from research to production.<br><br>Key Responsibilities<br><br>Design, develop, and implement innovative solutions using AI technologies such as machine learning (ML), deep learning (DL), and big data analytics Develop and maintain end-to-end AI pipelines, from data collection and preprocessing to model training and deployment Analyze large and complex datasets using advanced techniques to provide actionable solutions Integrate AI solutions with existing systems to enhance efficiency and innovation Work with cross-functional teams to guide and train team members in AI-related fields Optimize model performance, scalability, and reliability in production environments Track and evaluate the performance of AI models to ensure continuous improvement<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Engineering, or a related field Experience with AI tools and technologies such as Tensor Flow, PyTorch, and Scikit-learn Strong programming skills in Python In-depth knowledge of machine learning and deep learning algorithms Ability to work with big data and analyze it Familiarity with REST APIs, version control (Git), and software engineering best practices Experience with MLOps, containerization, and deployment tools (Docker, Kubernetes, CI/CD pipelines) Experience with large language models (LLMs), generative AI, or prompt engineering Understanding of data privacy, security, and responsible AI principles<br><br>Job Location: Client Site

Job Title – Gen AI - Data Scientist Company – TCS (MEA) Location – Dhahran, Saudi Arabia Job type – Full time About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News. Job Description:<br> Hands-on AI Engineer with strong implementation experience in Generative AI, Agentic AI, and Time Series ML models.<br> Key Skills:<br>Design and deploy Gen AI solutions using LLMs, RAG, embeddings, vector databases, and prompt engineering. Build Agentic AI applications using Lang Graph, Lang Chain, Crew AI, Auto Gen, including multi-agent workflows, tool calling, and memory. Develop and deploy Time Series forecasting and anomaly detection models. Production deployment using Python, Fast API, ML flow, Docker, Kubernetes, CI/CD, and cloud platforms (AWS/GCP/Azure).<br> Experience:<br> Proven end-to-end implementation of production-grade AI solutions.<br>Application Deadline: 30-August-2026 Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

<p>We are seeking an experienced and dynamic Senior Transport Planner and Planning to lead and deliver transport planning, mobility strategy, and advisory projects. The role involves managing multidisciplinary teams, overseeing transport modelling and analysis, and providing strategic insights to clients across public and private sectors. The ideal candidate will bring strong technical expertise, leadership skills, and consulting experience in transport planning.</p><p><b>Your role</b></p><ul><li>Lead transport advisory and planning projects from inception to delivery</li><li>Develop and review transport strategies, mobility plans, and policy frameworks</li><li>Oversee transport modelling activities, including network development, demand forecasting, and scenario analysis</li><li>Guide GIS-based spatial analysis and data-driven transport planning solutions</li><li>Manage data collection, validation, and analysis for traffic and mobility studies</li><li>Provide technical expertise in urban mobility, traffic engineering, and multi-modal transport systems</li><li>Prepare and review technical reports, proposals, and client presentations</li><li>Engage with clients, stakeholders, and government authorities to support project objectives</li><li>Mentor and manage junior staff, interns, and consultants</li><li>Support business development through proposal writing, bid management, and client acquisition</li><li>Ensure project delivery within timelines, budget, and quality standards</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s or Master s degree in Civil Engineering, Transport Planning, Urban Planning, or related field</li><li>8+ years of relevant experience in transport planning or consultancy</li><li>Strong expertise in transport planning principles, traffic engineering, and mobility systems</li><li>Experience in transport modelling tools (VISUM, Vissim, Aimsun, or equivalent)</li><li>Proficiency in GIS tools (ArcGIS/QGIS)</li><li>Strong analytical, problem-solving, and critical thinking skills</li></ul><p>Preferred Experience in large-scale urban mobility or infrastructure projects</p><p>Knowledge of sustainable transport and smart city initiatives</p><p>Familiarity with programming languages (Python, R, Matlab) for data analysis</p><p>Experience working with public sector clients or international projects</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary: We are seeking an experienced SIEM Deployment Engineer to lead or support the deployment, configuration, and optimization of Splunk or SIEM solutions across enterprise environments.<br> The ideal candidate will possess strong technical knowledge in security operations, log management, and compliance, along with hands-on experience in implementing for clients.<br> Key Responsibilities: Lead end-to-end deployment of Splunk or SIEM platform, including planning, architecture design, installation, configuration, and tuning.<br> Integrate log sources from various platforms (Windows, Linux, firewalls, routers, endpoint protection, etc.<br>). Develop custom parsers and log normalization rules.<br> Build correlation rules, alerts, dashboards, and reports based on customer requirements.<br> Conduct use case development, threat detection tuning, and optimization of false positives.<br> Collaborate with SOC teams to ensure effective threat monitoring and incident detection.<br> Document implementation procedures, configuration guides, and troubleshooting steps.<br> Provide knowledge transfer and training to internal teams or clients.<br> Ensure compliance with industry standards (e.<br>g., NCA ECC, SAMA CSF, ISO 27001).<br> Required Skills and Qualifications: Bachelor’s degree in Computer Science, Cybersecurity, or related field.<br> 8-10 years of experience in Splunk or SIEM deployment and cybersecurity.<br> Proven experience with LogRhythm SIEM deployment in enterprise environments.<br> Strong understanding of log analysis, incident response, and threat detection.<br> Familiarity with log source integration: Windows Event Logs, Syslog, NetFlow, etc.<br> Scripting experience (PowerShell, Python, etc.<br>) is a plus.<br> Knowledge of cybersecurity frameworks (MITRE ATT&amp;CK, NIST, etc.<br>) is an advantage.<br> LogRhythm certifications (e.<br>g., LogRhythm Deployment Fundamentals, LogRhythm Analyst) are a strong plus.<br></span> </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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Responsibilities:</strong></p><ul><li>Strategic Thought Leadership Define the long term vision for log data acquisition, normalization, and analytics across all service lines. Publish whitepapers, best practice guides, and thought leadership content for internal and external audiences.</li><li>Enterprise Architecture &amp; Governance Architect enterprise scale telemetry frameworks that span on premise, cloud, and OT environments.</li><li>Advisory &amp; Client Engagement Serve as the senior technical advisor for strategic customers, presenting roadmap recommendations and risk assessments. Conduct executive level workshops and security posture reviews for tiering, identifying clients risks and delivering actionable recommendations. Evaluate and recommend emerging technologies (e.g., graph analytics, zero trust telemetry).</li><li>Performance &amp; Quality Excellence Define KPIs for ingestion latency, data fidelity, and detection efficacy. Champion the implementation of automated quality gates and continuous improvement loops. Handle and train the team members for complex MDR integration tasks. Define operation standards, plans, guidelines and ensure team is in compliance with the defined procedure. Automate and optimize onboarding tasks.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in Computer Science, Cybersecurity, Information Systems, or a related field</li><li>9+ years of experience with SIEM platforms, log engineering, and security operations.</li><li>Deep knowledge of SIEM architectures (e.g., Splunk, QRadar, Elastic, Azure Sentinel). Mastery of log formats, protocols, and data models (CEF, JSON, Syslog, OpenTelemetry). Advanced scripting/programming (Python, PowerShell, Bash, Go) and automation tools (Ansible, Terraform, Jenkins). Experience with containerization (Docker/Kubernetes) and cloud platforms (AWS, Azure, GCP).</li><li>Strong analytical, troubleshooting, and communication skills Ability to manage priorities and work cross-functionally in a fast-paced environment</li><li>CISSP, CISM, or equivalent. Vendor-specific SIEM certifications (e.g., Splunk Certified Architect). Cloud security certifications (CCSP, AWS Security Specialty)</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>AI Operations Engineer Position Overview We are seeking an AI Operations Engineer to operate and maintain a GPU-accelerated AI inference platform. This is a hands-on technical role responsible for the day-to-day operations of LLM serving infrastructure from bare-metal OS provisioning through production model deployment, monitoring, and capacity planning. The platform serves large language models to internal applications. You will be the dedicated engineer ensuring this infrastructure is reliable, performant, and ready to absorb new models and workloads as requirements evolve. Compensation &amp; Benefits We offer a comprehensive expat/travel benefits package to ensure a seamless transition and comfortable stay. Fully Covered Accommodations: Premium housing/accommodation provided. Meals &amp; Dining: Full food and dining arrangements taken care of by the company. Travel &amp; Commute: Comprehensive coverage of international flight tickets and all local business-related transportation. Visa Sponsorship: End-to-end processing and cost management for work visas and legal documentation. Per Diem Allowance: A daily out-of-pocket allowance (Per Diem) will be provided, with the exact structure and commercial terms finalized upon onboarding/joining. Key Responsibility Infrastructure Provisioning &amp; Automation OS to Production: Provision, harden, and patch vanilla Linux, installing GPU drivers, Python, and inference engines. IaC Automation: Maintain version-controlled infrastructure-as-code for repeatable fleet deployments. Air-Gapped Workflows: Manage offline, restricted-network deployments and local model distribution. Container Management: Configure containerized workloads, database backends, and reverse proxies. LLM Inference Engine Operations Engine Deployment: Deploy and maintain LLM inference serving engines across enterprise GPUs. Multi-GPU Sharding: Configure model sharding based on size, topology, and workload requirements. Quantization &amp; Sizing: Manage quantization trade-offs and calculate GPU memory/cache sizing for optimal concurrency. Feature Config: Set up and troubleshoot tool calling, reasoning modes, and multimodal serving. Model Evaluation: Benchmark and deploy new model releases for quality, accuracy, and throughput. API Gateway &amp; Traffic Management Gateway Operations: Configure routing, load balancing, API keys, token counting, and usage tracking. Support Services: Manage gateway-adjacent database backends, caching layers, and reverse proxies. Traffic Diagnosis: Troubleshoot full-path request issues using HTTP, streaming (SSE), and OpenAI API conventions. Monitoring, Reporting, &amp; Cost Analysis Observability Stack: Own metrics collection, dashboards, and GPU-level telemetry (power, temp, VRAM). Operational Metrics: Report on throughput, latencies (p50/p95/p99), queue depth, and tokens per second. Cost Attribution: Deliver token-level cost analysis and usage reporting per user and application. Alert Management: Define and monitor thresholds for hardware health and capacity degradation. Capacity Planning &amp; Performance Engineering Fleet Scaling: Analyze throughput across GPU configs to guide procurement and fleet planning. Benchmarking: Validate new models and quantization methods before production rollout. Optimization: Resolve performance bottlenecks across drivers, runtimes, and network layers. Developer Collaboration &amp; Prompt Engineering Workload Onboarding: Partner with app teams to onboard workloads onto the inference platform. Prompt &amp; Param Tuning: Recommend prompt and parameter adjustments to optimize token usage and model output. Issue Isolation: Troubleshoot model behavior to isolate prompt/model limits from infrastructure bugs. Fine-Tuning (Foundational) Workflow Support: Understand fine-tuning fundamentals (LoRA/QLoRA) to assist ML teams with dataset and training workflows. Model Deployment: Deploy fine-tuned models and manage their distinct serving requirements. Technical Skills Operating Systems: Linux administration (RHEL family preferred), including kernel tuning, service management, storage, and network configuration. GPU and AI Stack: NVIDIA drivers and toolkits, LLM inference engines, model quantization techniques, multi-GPU parallelism concepts. Networking: HTTP/HTTPS, reverse proxy configuration, TLS/SSL, firewall management, network file systems, and load balancing concepts. Monitoring: Metrics collection, visualization, and alerting using industry-standard observability tools. Automation: Configuration management (Ansible preferred), shell scripting, Python for operational tooling. Version Control: Git with disciplined branching, tagging, and commit practices. Python: Virtual environments, dependency management, and debugging Python-based services. Soft Skills Ability to work independently and take ownership of infrastructure decisions with minimal supervision. Clear technical communication able to document procedures, write runbooks, and explain infrastructure constraints to development teams. Methodical troubleshooting approach: isolate variables, reproduce issues, document root causes and fixes. Comfort operating in environments with data sovereignty requirements and restricted internet access Required Qualifications Experience Minimum 4 years of hands-on experience in Linux systems engineering, with at least 2 years involving GPU infrastructure or ML/AI workloads. Demonstrated experience deploying and operating LLM inference engines in production environments. Strong working knowledge of the NVIDIA GPU software stack: drivers, toolkits, runtime libraries, and common failure modes. Experience with infrastructure-as-code and configuration management tools. Solid understanding of Linux containerization technologies, including rootless operation and service management integration Preferred Qualifications Experience with LLM API gateway or proxy solutions for multi-model routing and management. Familiarity with LLM fine-tuning workflows (LoRA, QLoRA, dataset preparation, evaluation). Experience with air-gapped or restricted-network deployments. Knowledge of Arabic NLP or multilingual model evaluation. Experience scaling GPU infrastructure across growing fleet sizes. Familiarity with cloud GPU providers and bare-metal GPU hosting environments. Understanding of Mixture of Experts (MoE) model architectures and their serving implications Note: We required immediate joiners only.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 4 years of hands-on experience in Linux systems engineering, with at least 2 years involving GPU infrastructure or ML/AI workloads.</li><li>Demonstrated experience deploying and operating LLM inference engines in production environments.</li><li>Strong working knowledge of the NVIDIA GPU software stack: drivers, toolkits, runtime libraries, and common failure modes.</li><li>Experience with infrastructure-as-code and configuration management tools.</li><li>Solid understanding of Linux containerization technologies, including rootless operation and service management integration</li><li>Experience with LLM API gateway or proxy solutions for multi-model routing and management.</li><li>Familiarity with LLM fine-tuning workflows (LoRA, QLoRA, dataset preparation, evaluation).</li><li>Experience with air-gapped or restricted-network deployments.</li><li>Knowledge of Arabic NLP or multilingual model evaluation.</li><li>Experience scaling GPU infrastructure across growing fleet sizes.</li><li>Familiarity with cloud GPU providers and bare-metal GPU hosting environments.</li><li>Understanding of Mixture of Experts (MoE) model architectures and their serving implications</li><li>Ability to work independently and take ownership of infrastructure decisions with minimal supervision.</li><li>Clear technical communication able to document procedures, write runbooks, and explain infrastructure constraints to development teams.</li><li>Methodical troubleshooting approach: isolate variables, reproduce issues, document root causes and fixes.</li><li>Comfort operating in environments with data sovereignty requirements and restricted internet access</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are orchestrating the best high-performing team, and building it from the ground up in Saudi Arabia! This role is part of Yuno's Graduate Program, designed for ambitious fresh graduates looking for their first full-time opportunity. As a Junior Developer, you'll join our Engineering team, working closely with Product and Solutions Engineering to help build the core services that power Yuno's payments orchestration platform while helping shape what our presence in Saudi Arabia looks like. This is a full-time position and a genuine first step into a career in software engineering at a global fintech.</p><p>Your contribution will be</p><ul><li>Build and maintain, under the guidance of senior engineers, backend services and APIs.</li><li>Collaborate with Product Owners and Solutions Engineers to turn requirements into working solutions.</li><li>Write clean, well-tested, and well-documented code.</li><li>Participate in code reviews and learn engineering best practices from the team.</li><li>Help troubleshoot and resolve production issues alongside support and solutions teams.</li><li>Help shape how Yuno's engineering presence grows in the Saudi market.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Fluent in Arabic and English.</li><li>Recent graduate (or graduating before the start date), in Computer Science, Software Engineering, or a related field, and able to work full-time.</li><li>Solid foundation in at least one modern programming language (e.g., Node.js, Go, Python, Java).</li><li>Understanding of REST APIs, databases, and core programming fundamentals from coursework or projects.</li><li>Eagerness to learn and grow in a fast-paced, ground-floor startup environment.</li><li>Personal projects, hackathons, or open-source contributions.</li><li>Internship experience in software development.</li><li>Exposure to cloud environments (AWS, GCP, or Azure) or AI-assisted development tools.</li><li>Interest in payments, fintech, or high-volume transactional systems.</li></ul><p></p></section>

<p>Responsibilities</p><p>Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery.</p><p>Build, schedule, and orchestrate production-grade data workflows using Apache Airflow .</p><p>Develop distributed data-processing jobs using Apache Spark .</p><p>Write efficient, reusable, and maintainable Python code for data processing, automation, and pipeline development.</p><p>Develop and optimize complex SQL queries for data transformation, analysis, and quality validation.</p><p>Design pipelines capable of processing large-scale structured, semi-structured, and unstructured datasets.</p><p>Implement Redis for caching, high-performance data access, and data-intensive application requirements.</p><p>Integrate data from APIs, relational databases, files, third-party providers, and other internal and external sources.</p><p>Implement data validation, monitoring, logging, error handling, alerting, and pipeline observability.</p><p>Optimize pipeline performance, data storage, processing time, and infrastructure costs.</p><p>Develop reusable data-ingestion and transformation frameworks instead of one-off scripts.</p><p>Troubleshoot pipeline failures, performance bottlenecks, and data-quality issues to ensure timely resolution.</p><p>Collaborate with BI, Product, Data Science, and Engineering teams to deliver reliable, production-ready datasets.</p><p>Establish and maintain data-engineering standards, technical documentation, and development best practices.</p><p>Preferred Qualification</p><p>Experience with cloud data platforms and object storage services such as AWS, Azure, or GCP .</p><p>Experience working with PostgreSQL , data warehouses, or analytical databases.</p><p>Experience processing geospatial data or large-scale location-based datasets.</p><p>Familiarity with DuckDB, Apache Sedona, Trino, Presto , or similar analytical technologies.</p><p>Experience processing high-volume event, mobility, transactional, or geospatial data.</p><p>Familiarity with CI/CD pipelines and infrastructure-as-code practices.</p><p>Experience supporting data products, analytics platforms, or AI/ML pipelines .</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Computer Science, Software Engineering, Data Science , or a related field.</p><p>4 6 years of professional experience in Data Engineering or a closely related role.</p><p>Strong hands-on experience designing and implementing production-grade ETL/ELT pipelines .</p><p>Strong proficiency in Python for data processing, automation, and data-engineering workflows.</p><p>Advanced SQL skills and a strong understanding of relational databases.</p><p>Practical production experience with Apache Airflow for workflow orchestration.</p><p>Hands-on experience with Apache Spark and distributed data processing.</p><p>Strong understanding of data modelling, transformation patterns, and data-pipeline architecture.</p><p>Experience with Redis , caching strategies, and high-performance data-access patterns.</p><p>Experience processing large datasets and optimizing pipeline and query performance.</p><p>Strong understanding of data quality, validation, monitoring, observability, and pipeline reliability.</p><p>Familiarity with Linux, Git, Docker/containers , and modern software-engineering practices.</p><p>Strong analytical, troubleshooting, communication, and cross-functional collaboration skills.</p>