64 AI & Emerging Technologies jobs in Qatar

Join to apply for the Customer Engineer, AI/ML, Google Cloud (Arabic) role at Google

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Riyadh Saudi Arabia; Dubai - United Arab Emirates; Kuwait City, Kuwait; Doha, Qatar .

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with Machine Learning model development and deployment.
• Experience with frameworks for deep learning (e.g., PyTorch, TensorFlow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Ability to communicate in Arabic fluently to support client relationship management in this region.

• Master's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in data and information management as it relates to big data trends and issues within businesses.
• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You'll partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply your impact and the impact of the team as a whole.

You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure.
• Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and benchmarking.
• Build repeatable assets to enable other customers and internal teams.
• Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
• Be responsible for business and workload acceleration on AI Infrastructure products and solutions for Google Cloud Platform (GCP).

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Project Management, Consulting, and Engineering
• Industries: Information Services and Technology, Information and Internet

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Experience : 5+yrs

We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.

• Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for Big Data, Query ( Spark, Hive SQL, BigQuery, SQL ) tuning opportunities that can be solved using machine learning and generative AI.
• Write clean, high-performance, high-quality, maintainable code.
• Create backend applications using Python, docker, Google Cloud & in-house ML frameworks to orchestrate end to end applications
• Design and develop Big Data Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
• Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
• Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.

• Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
• Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
• Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.

We are seeking a highly skilled and innovative Artificial Intelligence and Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI and ML models that drive impactful solutions across various domains, including education, data analytics, automation, and smart systems. You will work alongside interdisciplinary teams to integrate cutting-edge technologies into practical applications, transforming data into intelligent action.

1. Model Development & Deployment
   1. Design, train, evaluate, and deploy machine learning and deep learning models.
   2. Build and maintain scalable AI solutions for real-time or batch processing systems.
   3. Optimize model performance, including accuracy, latency, and resource consumption.
2. Data Engineering & Processing
   1. Collaborate with data engineers and analysts to source, clean, and transform data.
   2. Apply advanced statistical and data mining techniques to extract meaningful patterns.
3. Research & Innovation
   1. Stay updated with the latest advancements in AI and ML technologies.
   2. Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.
4. Systems Integration
   1. Develop APIs and services to integrate AI solutions into existing platforms or applications.
   2. Collaborate with software engineers and DevOps teams to ensure production-level stability.
5. Collaboration & Communication
   1. Work closely with academic and operational teams to understand business needs and translate them into technical solutions.
   2. Prepare documentation, reports, and presentation materials to communicate findings and methodologies.

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master's or PhD preferred).
• Minimum 3 years of hands-on experience in AI/ML engineering or data science roles.
• Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
• Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision.
• Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerized environments (Docker, Kubernetes).

• Knowledge of MLOps tools and CI/CD pipelines for ML projects.
• Familiarity with big data platforms (e.g., Spark, Hadoop).
• Experience with academic or educational systems (LMS, AI in education) is a plus.
• Demonstrated contributions to open-source projects, research publications, or hackathons.

AI Architect - CREQ Description

Add the Middle East to your global professional experience and have the opportunity to work on some of the leading Digital Transformation programs.

Virtusa is one of the fastest growing IT Services companies in the Middle East with a growing client base in the UAE, KSA, Qatar & Oman and we work with the leading Banking and Financial Services, Travel, Telecom and Enterprises firms in the region. We have partnered with our clients to win awards from Gartner, IDC, WfMC and other analyst for the work that we have delivered to our clients in the region.

Why would you not like to be part of this exciting and award winning team? Don't listen to us, listen to our customers

Teamwork, quality of life, professional and personal development : values that Virtusa is proud to embody. When you join us, you join a team of 30,000+ people globally that cares about your growth - one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Role : AI Architect

Skill : AI Architect

Experience : 7yrs

• Must Have : Azure
• Additional Skills : In-depth understanding of various AI and Generative AI techniques and their practical applications.
• Design and develop custom ML, Gen AI, NLP, and LLM models Experience working with AI frameworks in Python with libraries like Pytorch,Pandas, NumPy, SciPy,Langchain etc.
• Prompt engineering, training and fine-tuning Large language models Evaluate model performance using relevant metrics and perform hyperparameter optimization.
• Develop methods for addressing bias, fairness, and ethical concerns in LLM development.
• Experience with Explainable AI (XAI) techniques and ethical considerations in AI development.
• Proficiency in cloud platforms like Azure, or GCP for AI workloads

Primary Location Doha, Ad Dawḩah, Qatar Job Type Experienced Primary Skills Azure AI Years of Experience 10 Travel No

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours. Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long

• Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud
• Hands-on experience with machine learning libraries, or tools
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Travel upgrades for long haul company events

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

• Entry level

• Full-time

• Engineering and Information Technology

• Software Development

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Lead AI Strategist (Technical) - Driving AI Transformation Across Diversified Business Verticals.

Role Overview: We are seeking a forward-thinking, technically adept AI Strategist to spearhead our AI and RPA (Robotic Process Automation) initiatives at the enterprise level. As the lead AI Strategist, you will collaborate across all business functions to identify, plan, and execute AI-driven transformation projects, ensuring measurable improvements in both business outcomes and employee productivity. This position is tailored for a hands-on strategist with a strong technical foundation in AI platforms, RPA, data analytics, and ERP systems, who can serve as a bridge between business strategy and technical execution.

• AI & RPA Roadmap Development: Design, implement, and refine a comprehensive AI and RPA strategy aligned with company objectives, business unit needs, and evolving market trends.
• Cross-Departmental Collaboration: Engage with stakeholders across diverse business units-including automotive, IT, energy, geo and material testing, logistics, travel, engineering, retail, and all back-office functions-to understand department-specific use cases and pain points.
• Business Use Case Identification: Work closely with department heads and process owners to identify high-impact AI and RPA opportunities that address both operational efficiency and employee productivity.
• Solution Architecture & Technical Leadership: Lead the design and implementation of AI / ML models, RPA solutions, and data analytics platforms. Ensure all technical solutions are scalable, secure, and aligned with the company's IT architecture.
• ERP Integration: Identify opportunities to leverage AI and automation within ERP systems, enhancing core business processes such as HR, finance, legal, supply chain, and customer relationship management.
• Change Management: Develop strategies to facilitate digital transformation, including employee training, communication, and adoption of AI-driven solutions.
• Performance Measurement: Define KPIs and success metrics for all AI / RPA projects. Track ROI, productivity gains, and business impact, reporting progress to executive leadership.
• Continuous Learning & Innovation: Stay abreast of the latest developments in AI, RPA, data analytics, and Gen C technologies. Foster a culture of experimentation and innovation within teams.
• Vendor & Partner Management: Evaluate and manage relationships with third-party vendors and technology partners, ensuring solutions are cost-effective and future-ready.
• Risk Management & Compliance: Ensure all AI and automation deployments comply with internal policies, industry standards, and relevant legal or ethical guidelines.

Desired Skills & Qualifications

• Education: Bachelor's or Master's degree in computer science, Engineering, or a related technical discipline.
• Experience: Minimum 7 years of professional experience in AI, machine learning, data analytics, robotic process automation, or related technical business application fields.
• At least 2 years of experience in a strategic role, leading AI initiatives, defining AI roadmaps, and aligning AI solutions with business objectives.
• Technical Proficiency: Strong foundation in AI / ML platforms, including generative AI, natural language processing (NLP), computer vision, and deep learning.
• Proven experience overseeing AI / ML and robotic process automation (RPA) solution deployment, with direct involvement in architecting integration strategies.
• In-depth understanding of ERP systems, their data structures, and how AI and automation can augment business processes.
• Proficiency in integrating AI solutions with enterprise software such as Oracle and SAP, ensuring robust data flows and operational impact.
• Skilled in using advanced data analytics and visualization tools, including Power BI, Tableau, and others, to drive actionable business insights and strategic decisions.

Business Acumen : Experience working across diverse industries and business functions-including automotive, IT, energy, logistics, engineering, retail, and back-office functions. Ability to translate business challenges into technical solutions.

Project Management : Proven ability to lead cross-functional teams, manage multiple projects simultaneously, and deliver results on time and within budget.

Communication & Stakeholder Management : Excellent communication, presentation, and interpersonal skills. Ability to influence and collaborate effectively with technical and non-technical stakeholders at all levels.

Change Leadership : Experience driving cultural and operational change in complex organizations. Adept at managing resistance and fostering buy-in for digital transformation initiatives.

Adaptability : Comfortable working in a dynamic, fast paced, and multi-disciplinary environment.

Certifications (Preferred) : Relevant certifications in AI, RPA, enterprise architecture, and project management are highly advantageous.

• Number of AI / RPA initiatives successfully launched and scaled across business units
• Measured improvements in business process efficiency and employee productivity
• ROI and business impact of implemented AI solutions
• User adoption rates and satisfaction with AI-driven tools
• Up-skilling and enablement of internal teams in AI and automation practices

• Opportunities: This role offers the chance to architect and influence the AI journey of a large, multifaceted organization, working with passionate teams and leveraging a vast array of data and business processes.
• Challenges: Navigating complex legacy systems, diverse stakeholder needs, and ensuring organization-wide alignment in a rapidly evolving technological landscape.

This position reports directly to the Group IT Director. As the primary point of contact for AI and RPA strategy within the company, the Lead AI Strategist will collaborate closely with the Group IT Director to ensure alignment with organizational priorities, technical standards, and security protocols.

The role involves ongoing collaboration through regular updates, strategic planning sessions, and performance evaluations to support and drive the company's enterprise-wide AI transformation efforts.

To apply, please submit your resume and a cover letter detailing your experience in leading AI, RPA and Data driven transformations in diversified business environments. Highlight specific projects demonstrating your technical expertise and strategic vision.

Direct message the job poster from UMATR

Senior AI Engineer - Fintech Start-Up

We've partnered with a fast-growing fintech start-up in Doha, building AI-powered solutions to transform financial services across the region. As they scale, we're looking for a Senior AI Engineer to join our their tech team and drive the development of intelligent, customer-first products.

What You’ll Get:

• QAR 35k/month
• VISA & Medical for you + your family
• ESOP

What You’ll Do:

• Design, fine-tune, and deploy LLMs and multimodal GenAI models for use cases in personalized financial advice, fraud detection, and customer engagement
• Work closely with data engineers and product teams to integrate AI into cloud-native fintech platforms
• Implement MLOps best practices for model lifecycle management, monitoring, and scalability
• Experiment with prompt engineering, retrieval-augmented generation (RAG) , and domain-specific knowledge integration
• Apply the latest research in transformers, embeddings, and generative pipelines to real-world fintech challenges

What We're Looking For:

• 5+ years in machine learning, NLP, and deep learning (TensorFlow / PyTorch)
• Experience with Generative AI models (LLMs, diffusion models, or multimodal AI)
• Skilled in Python and familiar with frameworks like LangChain, Hugging Face, or Vertex AI
• Solid understanding of MLOps tools (Airflow, MLflow, Docker, Kubernetes)
• Familiarity with cloud platforms (GCP, AWS, or Azure) - GCP/Vertex AI is a plus
• Ability to work in a fast-paced start-up environment, contributing across research, engineering, and product
• Bonus: Experience in fintech, financial modeling, or regulatory tech (RegTech)

• Mid-Senior level

• Full-time

• Information Technology

• Staffing and Recruiting

Join to apply for the Sr. AI Engineer role at Vistas Global

The Sr. AI Engineer will play a lead role in developing and deploying artificial intelligence and machine learning solutions across enterprise systems. This position focuses on building smart algorithms that solve real business challenges from automation and optimization to predictive modelling. The engineer will collaborate with data scientists, developers, and business teams to integrate AI into practical, scalable tools that support innovation and efficiency.

• Model Design: Build and deploy AI and machine learning models for use in automation, classification, and predictive analytics
• Data Preparation: Clean, preprocess, and manage large datasets for training and testing models
• Collaboration: Work with cross-functional teams to understand business needs and deliver AI-powered solutions
• Research & Innovation: Stay updated on the latest developments in AI and apply new techniques when relevant
• Deployment & Monitoring: Support the rollout of models into production and monitor performance for improvement
• Documentation: Maintain clear documentation of AI workflows, tools, and model behaviour

• Strong background in machine learning, deep learning, and neural networks
• Proficient in Python, TensorFlow, Keras, PyTorch, and related frameworks
• Experience with data science libraries (e.g., NumPy, Pandas, Scikit-learn)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker/Kubernetes)
• Strong analytical thinking and the ability to present technical concepts to non-technical teams
• Experience with data pipelines, model evaluation, and A/B testing

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• At least 5 years of experience in AI engineering, machine learning, or applied data science
• Experience deploying production-ready AI models is highly preferred
• Applicants currently based in Qatar with a valid QID are encouraged to apply

Job ID: -114VG

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

• Design & Integration: Lead the design of scalable AI architectures that seamlessly integrate with existing enterprise systems, directly addressing complex industrial challenges.
• Customization & Prototyping: Develop tailored AI models and proof-of-concept prototypes that demonstrate clear business value and operational impact.
• Feasibility Analysis: Conduct technical feasibility assessments to validate solution designs and ensure alignment with strategic business requirements.
• End-to-End Management: Oversee the full lifecycle of AI projects-from initial scoping and conceptualization to deployment and post-implementation support-ensuring timely delivery and budget adherence.
• Stakeholder Collaboration: Engage closely with client representatives, internal R&D teams, and technical staff to maintain clear communication and alignment on objectives, deliverables, and timelines.
• Risk & Quality Assurance: Implement effective risk management strategies while maintaining rigorous quality standards throughout project execution.

• Pre-Sales Expertise: Serve as the technical authority during pre-sales activities, articulating the capabilities of Beyond Limits' platforms, frameworks, and products to prospective clients.
• Partner Selection & Training: Identify and select the right delivery partners, then train and support them on our technologies to ensure they meet our high technical standards.
• Collaborative Oversight: Work in close partnership with delivery leads and external developers to manage project development, ensuring seamless integration and successful client outcomes.

• Strategic Advisory: Provide high-level consulting on AI strategies and digital transformation roadmaps that empower clients to gain competitive advantages.
• Process Optimization: Analyze and reengineer business processes with AI-driven enhancements to boost operational efficiency and drive measurable results.
• Change Management: Lead change initiatives by advising on best practices for technology adoption and delivering targeted training to upskill client teams.

• Bachelor's in computer science, Software Engineering, or related.
• 10+ years managing software engineering, AI, or data analytics projects in Oil & Gas or similar heavy industries.
• Demonstrated success in managing and aligning diverse stakeholders.
• Communication: Articulate technical concepts-architecture diagrams, code quality metrics-to both technical and non technical audiences.
• Analytical: Extract insights from performance metrics, error rates, and project KPIs to drive continuous improvement.
• Problem Solving: Quickly diagnose system failures, code regressions, and data pipeline issues, and lead resolution.
• Deep expertise in Agile methodologies (Scrum, Kanban) and a solid grasp of Waterfall practices.
• Hands-on experience with tools such as Jira, Confluence, CI/CD pipelines (e.g., Jenkins, GitLab CI), and cloud platforms (OCI, GCP).
• Solid understanding of the architectural and operational differences between cloud-native and on-premises software environments.
• Fluent in both Arabic and English.
• Must be eligible and authorized to work in the Doha (Qatar).

• MSC or PhD is a plus
• Proven experience in enterprise technology consulting and managing complex AI solution deployments, particularly within industrial or high-tech sectors.
• Deep technical expertise in AI frameworks, platforms, and integration methodologies.
• Demonstrated success in technical pre-sales support and in managing strategic partner ecosystems.
• Strong leadership, project management, and stakeholder engagement skills, with a track record of delivering transformative digital solutions.

Beyond Limits is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.

Please upload your CV to apply.

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