graphic designer

interior designer

motion graphic designer

videographer

3d designer

ai video creative designer

babili group

WE&rsquo;RE HIRING | Graphic Designer &amp; Digital Marketing SpecialistWe are looking for a creative and experienced Graphic Designer with strong skills in Digital Marketing and Social Media Content Creation &amp; Management.Required Skills &amp; Software:<ul><li>Adobe Photoshop</li><li>Adobe Illustrator</li><li>Adobe InDesign</li><li>Adobe After Effects</li><li>Adobe Premiere Pro</li><li>Canva</li><li>Figma</li><li>Meta Business Suite / Ads Manager</li><li>Google Ads &amp; Google Analytics</li><li>AI Design &amp; Content Creation Tools</li></ul>Experience in Branding, Brochures, Company Profiles, Presentations, Social Media Content, and Digital Advertising Campaigns is preferred.To Apply: Please send your CV + Portfolio showcasing samples of your previous work.Pay: QAR1.00 per monthWork Location: In person

Graphic Designer & Digital Marketing Specialist

Al Abdulghani Motors

Date: Aug 23, 2026
 
Location: 
Doha
 
#job-location.job-location-inline { display: inline; }
 Company: Al Abdulghani Motors
 Job Requisition ID: 1620
 
We are committed to fair and equitable employment practices. All qualified applicants will be considered for employment without discrimination.
 
Job Purpose
 
Responsible for creating engaging motion graphics, animations, and video content that effectively communicate ideas, messages, and brand values to AAM customers and the market. The role supports marketing, digital communications, and brand initiatives through high-quality visual storytelling across multiple platforms.
 
Principal Accountabilities
 Design and produce motion graphics, animations, video content, and multimedia assets for marketing campaigns, social media, digital advertising, events, presentations, and corporate communications.
 Collaborate with all business units/departments to understand project requirements, develop creative concepts, and incorporate feedback to deliver effective visual solutions.
 Create storyboards and visual concepts to support video productions and motion graphic projects.
 Develop engaging animations, kinetic typography, visual effects, transitions, and animated graphics that align with brand guidelines and campaign objectives.
 Maintain familiarity with customer demographics and market trends to create relevant and impactful visual content for promotions, events, and digital campaigns.
 Produce creative assets for all digital channels, including social media, websites, digital advertising, email marketing, presentations, and in-showroom displays.
 Collaborate with internal AAM departments/business units to plan project outcomes, propose innovative content ideas, and continuously improve creative execution and production workflows.
 Stay up to date with the latest motion graphics, animation, video editing software, AI-powered creative tools, digital content trends, and emerging technologies to maintain a competitive creative edge.
 Required Qualifications
 
Education - Bachelor's Degree
 
Professional/Technical Certifications - Adobe Creative Suite: Adobe After Effects and Adobe Premiere, Photoshop, Illustrator, DaVinci Resolve, AI creative tools
 
Years of Experience - 5 to 7 Years
 
We are committed to fair and equitable employment practices. All qualified applicants will be considered for employment without discrimination.

Motion Graphic Designer

Al Khidma Systems

Content &amp; Growth ExecutiveWho can applyQatar-raised fresh graduates and final-year students are especially encouraged to apply. Familiarity with Qatar&rsquo;s local culture and youth audience is an added advantage.About the roleAl Khidma Systems is looking for a curious, creative and dependable Content &amp; Social Media Executive to strengthen our social media presence and help turn online attention into meaningful business conversations and, over time, qualified leads.This is a hands-on content-execution role. You will be expected to research ideas, create content, publish consistently, monitor results and continually find better ways to communicate what Al Khidma Systems does.We are looking for someone who uses their own judgement, follows current content trends, understands the audience and independently proposes relevant ways to grow our social platforms.This is an entry-level opportunity. Previous professional experience is helpful but not essential. Initiative, consistency, creativity and evidence of how you think matter more than the number of years on your CV.What you will do* Plan and maintain content calendars for Al Khidma Systems&rsquo; social media accounts.* Create and publish posts, carousels, short-form videos, Stories and campaign content.* Research industry topics, audience interests, competitors, trends and suitable content formats.* Turn business and technical subjects into clear, useful and engaging content.* Capture suitable photos, videos and updates from meetings, team activities, client visits, training initiatives and company milestones when required.* Write captions, post copy, hooks and calls to action.* Use Canva, basic video-editing tools and AI assistants efficiently without compromising accuracy or quality.* Repurpose strong content appropriately across Instagram and LinkedIn.* Schedule and publish approved content consistently and on time.* Engage professionally with relevant people, companies and online communities.* Test different topics, hooks, formats and calls to action.* Monitor content performance and use the results to improve future work.* Identify opportunities to turn social engagement into relevant enquiries and business conversations.* Submit a simple weekly report covering content published, performance, page growth, relevant conversations and leads received.* Work closely with the AKS team to understand business priorities and move content from idea to publication efficiently.You may be a good fit if you* Are a fresh graduate or final-year student in marketing, business, communications, media or a related field&mdash;or can demonstrate equivalent ability.* Write clear, natural English.* Understand how content works on Instagram and LinkedIn, or are strongly motivated to learn.* Can independently research and develop content ideas instead of waiting for every idea to be provided.* Have a good visual sense and can create clean content using Canva.* Can perform basic short-form video editing.* Are organized, responsive and able to meet agreed publishing deadlines.* Take ownership of your work and communicate early when something is delayed.* Ask useful questions and turn feedback into better work.* Are comfortable reviewing performance data and learning from results.* Can attend occasional meetings, activities or client visits when content capture is required.How to applySend the following to marketing@alkhidma.odoo.com:1. Your CV2. Your LinkedIn profile, if available3. Three content ideas you would create for Al Khidma Systems&mdash;at least one for LinkedIn and one for InstagramNo long cover letter is required. Show us how you think.Pay: QAR2,000.00 - QAR4,000.00 per monthWork Location: Hybrid remote in Doha

Content & Growth Executive

Snoonu

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 <ul>
 <li>
 Act as a strategic advisor, combining technical expertise with domain knowledge to solve complex business challenges and unlock growth opportunities.
 </li>
 <li>
 Unblock team members and drive solutions under tight timelines, ensuring delivery without compromising on quality or technical standards.
 </li>
 <li>
 Build, mentor, and lead a high-performing DS&amp;AI team, fostering technical excellence, business impact, continuous learning, and professional growth.
 </li>
 <li>
 Drive innovation by researching, evaluating, and integrating cutting-edge techniques (e.g. advanced forecasting, personalization, generative AI) into production solutions.
 </li>
 <li>
 Shape and influence the organizational data strategy, defining standards and practices to maximize long-term business impact.
 </li>
 <li>
 Lead and oversee the full lifecycle of high-impact DS&amp;AI projects, from scoping and design to production deployment, ensuring measurable outcomes for the business.
 </li>
 <li>
 Define and communicate the technical vision for the DS&amp;AI team, ensuring alignment of solutions with company strategy and stakeholder priorities.
 </li>
 <li>
 Safeguard project quality by setting technical best practices, reviewing designs, and providing strategic technical guidance across initiatives.
 </li>
 <li>
 Guide experimentation and model validation through advanced methodologies (A/B testing, switchbacks, Bayesian approaches), ensuring results translate into business KPIs.
 </li>
 <li>
 Oversee deployment, monitoring, and scaling of ML and GenAI systems, ensuring performance, governance, and sustainability at scale.
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <ul>
 <li>
 MSc in Data Science, Big Data, AI, Statistics, or a related field.
 </li>
 <li>
 5+ years of experience in data science, machine learning, or statistical modeling, with at least 1 year in a leadership role.
 </li>
 <li>
 Advanced expertise in statistical modeling, experimental design, and specialized ML/DL domains (e.g. recommendation systems, time series, NLP, AI agents).
 </li>
 <li>
 Proven track record of leading end-to-end, high-impact projects from problem framing to deployment, with ownership of business metrics and measurable value delivery.
 </li>
 <li>
 Strong leadership and stakeholder management skills, with the ability to define technical direction and align it with strategic business priorities.
 </li>
 <li>
 Demonstrated ability to grow and mentor teams, set high technical standards, and ensure long-term quality and sustainability of DS &amp; AI products.
 </li>
 <li>
 Proven success in leading teams through the design, deployment, and scaling of ML/DL models in production, with strategy-setting for real-time, low-latency, and streaming environments.
 </li>
 <li>
 Experience defining strategy and leading cross-functional teams to build, deploy, and scale LLM-based applications.
 </li>
 <li>
 Deep expertise in SQL, with the ability to architect, debug, and optimize highly complex queries and pipelines for large-scale data environments.
 
 
 </li>
 </ul>
 
 ✨ Bonus Points If You Have
 
 
 
 <ul>
 <li>
 Proven expertise in marketplaces, delivery, or logistics tech, with the ability to compound DS methods with deep domain knowledge.
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more &ndash; all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 Be Customer Obsessed
 
 : &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 
 Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 Work Smart and Deliver Results
 
 : &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Real Builders Ship:
 
 &ldquo;We turn ideas into products, plans into action, and challenges into opportunities.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Global Vibes
 
 &ndash; Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters
 
 &ndash; Learning budgets, access to courses, and tools for your growth.
 
 
 🚒
 
 Builder&rsquo;s Playground
 
 &ndash; Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 🏝️
 
 Flexible Time Off
 
 &ndash; We take recharging seriously. Generous leave and wellness policies.
 
 
 🛠️
 
 Agile Everything
 
 &ndash; Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Great Place to Work&reg; Certified
 
 
 
 We&rsquo;re certified as a Great Place to Work&reg;, a recognition that celebrates a culture we&rsquo;ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.
 
 
 
 Certified for Excellence
 
 
 
 Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build apps. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a team where your contributions spark a change and your voice is heard. Let&rsquo;s make some magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>

Data Scientist Lead

malomatia

<div>
 
 Job Description
 
 
 
 To define technical approach to AI agents, orchestration frameworks, and responsible AI practices while working closely with engineering teams, product managers, and business stakeholders to bring cutting-edge AI capabilities to production.
 
 
 
 Responsibilities
 
 
 
 Lead AI solutions design and implementation
 
 
 <ul>
 <li>
 Serve as the primary technical advisor on generative AI initiatives
 </li>
 <li>
 Lead proof-of-concept development and architectural decision records
 </li>
 <li>
 Mentor engineering teams on agentic AI patterns and best practices
 </li>
 <li>
 Evaluate emerging technologies and maintain technical roadmaps
 </li>
 <li>
 Design and architect AI agent systems and multi-agent workflows for enterprise use cases
 </li>
 <li>
 Evaluate and implement agent frameworks including LangGraph, Microsoft Agent Framework, OpenAI Agents SDK, Google Agent-to-Agent (A2A), and emerging standard
 </li>
 <li>
 Architect tool-use patterns, function calling, MCP, and agent-to-agent communication protocols
 </li>
 <li>
 Design for agent observability, debugging, and human-in-the-loop workflows
 </li>
 <li>
 Design retrieval-augmented generation architectures and architect vector database solutions, embedding strategies, implement chunking strategies, hybrid search, and re- ranking approaches for optimal retrieval performance
 </li>
 <li>
 Design knowledge graphs and structured data integration with generative AI systems
 </li>
 <li>
 Lead architecture decisions across cloud AI platforms including Azure AI Foundry, Google Vertex AI, OpenAI APIs, and open-source Gen AI models
 </li>
 <li>
 Design prompt management, versioning, and optimization pipelines
 </li>
 <li>
 Architect for multi-model strategies, model routing, and fallback patterns
 </li>
 <li>
 Establish patterns for cost optimization, latency management, and scaling LLM workloads
 </li>
 <li>
 Define comprehensive evaluation frameworks for LLM applications and agent systems
 </li>
 <li>
 Implement automated evaluation pipelines using frameworks such as RAGAS, DeepEval, and custom evaluation harnesses
 </li>
 <li>
 Establish benchmarks for response quality, factual accuracy, task completion, and user satisfaction
 </li>
 <li>
 Champion responsible AI practices including safety, fairness, transparency, and privacy
 </li>
 <li>
 Implement guardrails, content filtering, and output validation systems
 </li>
 <li>
 Design for prompt injection prevention, data leakage protection, and secure agent execution
 </li>
 <li>
 Ensure compliance with emerging AI regulations and industry standards
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred. Arabic Speaker.
 </li>
 <li>
 8+ years of experience in software engineering or architecture roles
 </li>
 <li>
 3+ years of hands-on experience building LLM-powered applications in production
 </li>
 <li>
 Deep expertise in AI agent architectures, orchestration patterns, and workflow design
 </li>
 <li>
 Strong experience with at least two of the following: LangChain/LangGraph, Microsoft Semantic Kernel/Agent Framework, OpenAI Agents SDK, Google Vertex AI Agent Builder
 </li>
 <li>
 Proven experience designing and implementing Advanced RAG Systems and Agentic AI
 </li>
 <li>
 Proficiency in Python and experience with async programming patterns
 </li>
 <li>
 Hands-on experience with cloud AI platforms (Azure AI Foundry or Google Vertex AI)
 </li>
 <li>
 Strong understanding of Gen AI models&rsquo; fundamentals including prompting, fine-tuning, context windows, and token economics
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience implementing Model Context Protocol (MCP), Google Agent-to-Agent (A2A) protocol, and multi-agent communication patterns
 </li>
 <li>
 Experience building AI Evals pipelines and AI quality assurance systems
 </li>
 <li>
 Knowledge of advanced RAG techniques: query decomposition, multi-hop reasoning, GraphRAG
 </li>
 <li>
 Experience with AI observability tools
 </li>
 <li>
 Background in AI safety, red-teaming, or responsible AI implementation.
 
 
 </li>
 </ul>
 Skills &amp; Competencies
 
 
 <ul>
 <li>
 Systems thinking with ability to design for complexity and emergence in agentic systems
 </li>
 <li>
 Strong communication skills to convey AI concepts to diverse audiences
 </li>
 <li>
 Pragmatic approach balancing innovation with production readiness
 </li>
 <li>
 Ability to rapidly learn evolving AI technologies
 </li>
 <li>
 Commitment to ethical AI development and user safety
 </li>
 <li>
 Collaborative mindset with ability to influence across organizational boundaries
 
 
 </li>
 </ul>
 
 About Malomatia
 
 
 
 
 ABOUT US
 
 
 
 malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.
 
 
 
 Our mission
 
 
 
 Empowering Qatar&rsquo;s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.
 
 
 
 Our vision
 
 
 
 To become Qatar&rsquo;s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.
 
 
 
 Driving change that makes a real impact
 
 
 
 Since 2008, malomatia has been driving Qatar&rsquo;s digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation&rsquo;s vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar&rsquo;s sustainable future.
 
 
 
 About The Team
 
 
 
 Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high-value digital solutions tailored to the unique needs of our clients.
 
 
 Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.
 
 
 Join us in shaping the future of technology in Qatar
</div>

Senior Consultant - AI Solution Architect

Commercial Bank

<div>
 
 About Commercial Bank Of Qatar
 
 
 
 Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services.
 
 
 We believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 
 
 Join us in shaping the future of banking!
 
 
 
 Job Summary
 
 
 
 <ul>
 <li>
 The Senior AI Engineer is responsible for leading the design, development, and deployment of complex Agentic AI solutions and enterprise AI platforms within the Data &amp; AI Lab. This senior role requires deep expertise in AI engineering, cloud architecture, and integration patterns, combined with financial services industry experience.
 </li>
 <li>
 The position serves as a technical leader for AI initiatives, providing guidance on architecture decisions, best practices, and technology selection. The Senior AI Engineer will drive the adoption of AI orchestration frameworks (MCP), cloud-native AI services, and modern AI tooling across the organization.
 </li>
 <li>
 The role requires a balance of hands-on technical delivery and technical leadership, ensuring that AI solutions are production-grade, scalable, and aligned with banking regulatory requirements.
 
 
 </li>
 </ul>
 
 
 Key Accountabilities
 
 
 
 
 <ul>
 <li>
 Agentic AI Architecture &amp; Development
 </li>
 <li>
 Lead the design and implementation of complex Agentic AI solutions including autonomous workflows, multi-agent systems, and enterprise AI orchestration.
 </li>
 <li>
 Define architecture patterns and best practices for AI agent development and Model Context Protocol (MCP) integrations.
 </li>
 <li>
 Drive innovation in AI capabilities, evaluating emerging technologies and recommending adoption strategies.
 </li>
 <li>
 AI Platform Leadership
 </li>
 <li>
 Architect and oversee development of AI platform components including vector stores, embedding pipelines, and retrieval systems.
 </li>
 <li>
 Design scalable document parsing, processing, and metadata extraction frameworks for enterprise knowledge management.
 </li>
 <li>
 Define API standards and integration patterns for AI services consumption across the bank.
 </li>
 <li>
 Cloud Architecture &amp; Infrastructure
 </li>
 <li>
 Lead cloud architecture for AI solutions on Azure and GCP, ensuring scalability, security, and cost optimization.
 </li>
 <li>
 Design event-driven architectures using Kafka for real-time AI applications and streaming use cases.
 </li>
 <li>
 Establish infrastructure standards for model serving on OpenShift/Kubernetes, monitoring, and MLOps practices.
 </li>
 <li>
 Technical Leadership
 </li>
 <li>
 Provide technical mentorship to AI Engineers and contribute to team capability building.
 </li>
 <li>
 Lead technical design reviews, code reviews, and architecture discussions.
 </li>
 <li>
 Ensure adherence to best practices: CI/CD, code management, testing, knowledge management, and documentation.
 </li>
 <li>
 Collaborate with enterprise architecture and IT teams to ensure AI solutions align with bank-wide technology strategy and target data architecture.
 </li>
 <li>
 Stakeholder Engagement
 </li>
 <li>
 Partner with AI Product Owners and business stakeholders to translate requirements into technical solutions.
 </li>
 <li>
 Communicate technical concepts and trade-offs to senior management and steering committees.
 </li>
 <li>
 Contribute to AI governance, ensuring solutions comply with data policies, ethical standards, and regulatory requirements.
 </li>
 <li>
 Define and maintain SLAs for AI solutions, implementing necessary monitoring and alerting.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 AI &amp; ML Engineering
 </li>
 <li>
 Deep expertise in LLMs, embedding models, and generative AI architectures.
 </li>
 <li>
 Advanced experience with AI orchestration frameworks, complex agent development, and multi-agent systems.
 </li>
 <li>
 Expert knowledge of vector databases, RAG architectures, and knowledge retrieval patterns.
 </li>
 <li>
 Strong background in deep learning frameworks (TensorFlow, PyTorch) and model deployment tools (MLflow, TFX).
 </li>
 <li>
 End-to-end ML lifecycle management and model monitoring.
 </li>
 <li>
 Software Engineering
 </li>
 <li>
 Expert proficiency in Python (Advanced level) and AI/ML frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar).
 </li>
 <li>
 Strong experience with API design, microservices architecture, and event-driven architecture.
 </li>
 <li>
 SQL &ndash; Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries).
 </li>
 <li>
 Git (GitHub/GitLab), CI/CD pipelines, and code management best practices.
 </li>
 <li>
 Cloud &amp; Data Engineering
 </li>
 <li>
 Expert-level experience with cloud platforms (Azure and/or GCP) and object storage (S3, GCS, ABS).
 </li>
 <li>
 Advanced knowledge of Kafka, Spark, and workflow orchestration (Airflow, Apache NiFi).
 </li>
 <li>
 Expert in containerization and orchestration: Docker, K8s (OpenShift).
 </li>
 <li>
 MLOps practices including model monitoring, versioning, and management.
 </li>
 <li>
 Leadership &amp; Communication
 </li>
 <li>
 Proven ability to lead technical initiatives and mentor junior engineers.
 </li>
 <li>
 Strong stakeholder management and communication skills.
 </li>
 <li>
 Data visualization and reporting for executive communication.
 </li>
 <li>
 Experience collaborating across organizational boundaries with IT, security, and compliance teams.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field.
 </li>
 <li>
 7+ years of experience in software engineering with at least 4 years focused on AI/ML applications.
 </li>
 <li>
 Demonstrated experience leading technical delivery of AI solutions in production environments.
 </li>
 <li>
 Expert-level experience with cloud platforms (Azure or GCP), OpenShift/Kubernetes, and enterprise integration patterns.
 </li>
 <li>
 Banking or financial services industry experience is mandatory.
 </li>
 <li>
 Experience with regulatory compliance, data governance, and security in financial services preferred.
 </li>
 <li>
 Relevant certifications (Azure AI Engineer, GCP ML Engineer, or equivalent) strongly preferred.
 
 
 </li>
 </ul>
 
 
 Why Commercial Bank?
 
 
 
 
 <ul>
 <li>
 Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
 </li>
 <li>
 An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
 </li>
 <li>
 Opportunities for Global Partnerships &amp; International Exposure, connecting employees with global networks and perspectives.
 </li>
 <li>
 A focus on Employee Well-being &amp; Work-Life Balance, ensuring a healthy and supportive environment for all team members
 </li>
 <li>
 Competitive Compensation &amp; Benefits that ensure our employees are rewarded for their dedication and performance
 </li>
 <li>
 A strong Commitment to Diversity, Equity &amp; Inclusion, fostering a culture that values every individual&rsquo;s unique perspective.
 
 
 </li>
 </ul>
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
 
 digital transformation
 
 in Qatar&rsquo;s banking sector, blending
 
 digital-first
 
 approach to redefine banking through
 
 innovative
 
 solutions.
 
 
 
 Disclaimer
 
 
 
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
</div>

Senior AI Engineer

North Oil Company Qatar

<div>
 Job description:
 
 
 
 Key Accountabilities
 
 
 &nbsp;
 
 
 
 This will be a definite term contract for 3 years.
 
 
 
 &nbsp;
 
 
 
 Evaluate, test, design and enable technology selection and implementation approach to improvement and optimize&nbsp; capabilities and data architecture (including AI &amp; ML) and design of agentic and autonomous AI solutions for enterprise&nbsp; use cases (covering POC, scale-up, and production&nbsp; deployment)
 
 
 <ul>
 <li>
 Evaluate, test, and design end to end data and AI architectures for enterprise and agentic use cases, covering POC, scale up, and production deployment.
 </li>
 <li>
 Architect enterprise data platforms optimized for AI, ML, and LLM integration and inference at scale.
 </li>
 <li>
 Define AI ready data architecture patterns supporting&nbsp; fine tuning, retrieval augmented generation, and prompt engineering workflows.
 </li>
 <li>
 Design hybrid architectures integrating on premises&nbsp; and cloud based LLM services with enterprise data platforms.
 </li>
 <li>
 Define reference patterns for multi model AI&nbsp; environments operating on shared and governed data.&nbsp;
 </li>
 <li>
 Design semantic layers, indexing, and similarity search for low latency AI workloads.
 </li>
 <li>
 Design enterprise knowledge graph architectures to&nbsp; support reasoning and contextual understanding.
 </li>
 <li>
 Define architectural mechanisms for data refresh,&nbsp; accuracy, relevance, and observability of retrieval performance and latency.
 </li>
 <li>
 Design multi agent architectures for cross functional workflows, including decision logic, tool usage, and&nbsp; interaction patterns for autonomous agents such as&nbsp; &nbsp;Microsoft Fabric Data Agent and Operational Agent.
 </li>
 <li>
 Design guardrails, auditability, and control mechanisms for agent actions, including feedback loops for continuous improvement.
 </li>
 <li>
 Define prompt orchestration patterns for multi-step&nbsp; reasoning aligned with NOC standards.
 </li>
 <li>
 Assess AI models, platforms, and tools using defined evaluation criteria and benchmarking, including proprietary, commercial, and open source options.
 </li>
 <li>
 Review and provide guidance on AI, ML, and advanced analytics architecture artefacts from vendors.
 </li>
 </ul>
 
 Job Purpose
 
 
 Responsible for designing and advancing data solutions that strengthen NOC data architecture and evaluating the adoption of emerging technologies within DBS, with a focus on AI, machine learning, and advanced analytics. The role requires deep expertise in Data &amp; AI Architecture /Engineering, cloud platforms,&nbsp;and integration patterns, combined with strong Oil &amp; Gas domain knowledge. It aims to enhance enterprise analytics capabilities by integrating AI/ML models and large-scale data processing frameworks to enable data-driven decision-making and improve operational efficiency.&nbsp;
 
 
 Key Accountabilities:
 
 <ul>
 <li>
 Evaluate, test, design and enable technology selection and implementation approach to improvement and optimize capabilities and data architecture (including AI &amp; ML) and design of agentic and autonomous AI solutions for enterprise use cases (covering POC, scale-up, and production deployment)
 </li>
 <li>
 Provide architectural guidance for data integration, ingestion patterns across enterprise data platforms and advanced analytics solutions in alignment with data modelling and MDM standards
 </li>
 <li>
 Design solutions in alignment with DBS best practices&nbsp; on Data and AI governance, information security controls, EA and PMO standards
 </li>
 <li>
 Review solutions and demands impacting Data Management part of Architecture Review Board (ARB)
 
 meetings
 </li>
 </ul>
 
 Key Accountabilities
 
 
 
 Provide architectural guidance for data integration, ingestion patterns across enterprise data
 
 
 platforms and advanced analytics solutions in alignment with data modelling and MDM standards
 
 
 <ul>
 <li>
 &nbsp;Design batch and streaming or real time ingestion and integration patterns aligned with NOC standards,&nbsp;
 
 including Integration Design Documents and design first principles.
 </li>
 <li>
 Define medallion, Kappa, and Lambda architectures as reference patterns.
 </li>
 <li>
 Maintain NOC data architecture for data platforms,&nbsp; digital use cases, demands, and data solutions.&nbsp;
 </li>
 <li>
 Document reference architectures and standard&nbsp; solution patterns for data and AI solutions, including&nbsp; IDD, HLD, LLD, dashboards and reports, model representations, data dictionaries, and data models&nbsp; such as CDM,LDM, and PDM.&nbsp;
 </li>
 <li>
 Ensure alignment of MDM principles with analytics and AI data requirements.
 </li>
 <li>
 Design data pipelines supporting continuous model training, evaluation, deployment, and retraining.
 </li>
 <li>
 Design CI and CD flows for ML models with monitoring for accuracy, latency, and cost.
 </li>
 <li>
 Design cost efficient inference and fine-tuning&nbsp; pproaches with usage tracking and controls..
 </li>
 </ul>
 
 
 Design solutions in alignment with DBS best practices on Data and AI governance, information security controls, EA and PMO standards
 
 
 <ul>
 <li>
 Support alignment with data and AI governance to ensure trusted and well governed data usage across&nbsp;
 
 platforms and advanced analytics.
 </li>
 <li>
 Design privacy preserving architectures for model&nbsp; training and fine tuning.
 </li>
 <li>
 Support definition of security controls and access patterns for data and AI platforms.
 </li>
 </ul>
 
 
 Review solutions and demands impacting Data Management part of Architecture Review Board (ARB) meetings
 
 
 <ul>
 <li>
 &nbsp;Support Architecture Review Board and Design Advisory sessions for data, AI, and ML solution reviews and approvals.
 </li>
 <li>
 Support delivery teams through architecture reviews and structured feedback on design artefacts.
 </li>
 <li>
 Identify and review reference solutions, architectures, and case studies to improve NOC architecture.
 </li>
 <li>
 Provide technical guidance to data operations, data governance, and related teams as required.
 </li>
 </ul>
 Competencies Delegate Appropriately and Communicate Effectively Demonstrate Adaptability in Managing Complex Situations Demonstrate Learning Agility and Drive Innovation Develop Emotional Intelligence and Cultural Competence Develop Others and Institutionalise Knowledge Develop Talent for the Future NOC Sustainability Facilitate Collaboration and Sense of Community Improve Safety, Technical Proficiency and Results Lead By Example with NOC Values Set Purpose, Strategic Direction and Company Plan Strengthen Accountability and Continuous Improvement Think and Act in Stakeholder-Centric Ways
 
 Education
 
 
 &nbsp;
 
 <ul>
 <li>
 Bachelor of Computer Science or Computer Engineering or relevant degree
 </li>
 <li>
 Specialization and certification in AI, ML engineering and/or Data Science.
 </li>
 </ul>
 
 Experience
 
 
 &nbsp;
 
 <ul>
 <li>
 Minimum of 8 years relevant experience in technical implementation of AI solutions. Designing data architectures, developing AI models, and ensuring the technical robustness of AI systems.
 </li>
 <li>
 Experience with machine learning techniques, such as Supervised/Unsupervised Learning, Deep Learning (e.g., Neural Networks, CNNs, RNNs), Natural Language&nbsp; Processing (NLP), Computer Vision and Text Analytics
 </li>
 <li>
 Hands on Experience with data agents, operational agent and Agentic AI
 </li>
 <li>
 Proven track record of delivering successful AI /Data digital products in the industry.
 </li>
 </ul>
 
 
 Job-Specific Skills (Generic / Technical):
 
 
 <ul>
 <li>
 Experience in AI Ready Data platforms &amp; Data architecture and data engineering foundation, technical
 
 implementation of AI solutions. Designing data&nbsp; architectures, developing AI models, and ensuring the
 
 technical robustness of AI systems.
 </li>
 <li>
 Strong understanding of software development life cycle (SDLC) and DevOps Practices.
 </li>
 <li>
 Strong hands-on Experience in AI and ML architecture, including Agentic and autonomous AI &amp; ML Ops Life cycle includes running POC to scale up solutions&nbsp;
 </li>
 <li>
 Strong Experience of design pipelines for model&nbsp; training, evaluation, and retraining including CI/CDD
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication and teamwork abilities.
 </li>
 <li>
 Ability to work independently.
 </li>
 <li>
 Experience with agile tools and software, such as Jira, Confluence, or similar.
 </li>
 <li>
 Experience on Projects using Industry Data Platforms (such as OSDU or Cognite Date Fusion) would be a plus
 </li>
 </ul>
</div>

Data Architect

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