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artificial intelligence engineer Jobs in Riyadh

artificial intelligence engineer

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ai automation (llms, rag) engineer

machine learning engineer

Qualcomm

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 General Summary
 
 
 
 
 About Us
 
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
 
 .
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 About The Role
 
 
 
 We are seeking a Staff‑level ML Applications Engineer with deep hands‑on experience in C++/Python‑based AI development in a Linux environment. The ideal candidate operates with a high degree of autonomy, defines technical goals and scope for assigned problem areas, and leads development efforts through execution. This role requires strong analytical skills, effective cross‑team collaboration, and the ability to mentor and guide other engineers by example while remaining hands‑on and execution‑focused.
 
 
 
 We are looking for 8+ years Software Engineering or related work experience
 
 
 
 
 Key Responsibilities Will Include
 
 
 
 <ul>
 <li>
 Improve and optimize key Deep Learning models on Qualcomm AI 100
 </li>
 <li>
 Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories
 </li>
 <li>
 Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning
 </li>
 <li>
 Build software tools and ecosystem around AI SW Stack.
 </li>
 <li>
 Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
 </li>
 <li>
 Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
 </li>
 <li>
 Optimize the entire deep learning pipeline including graph compiler integration
 </li>
 <li>
 Apply knowledge of software engineering best practices.
 
 
 
 </li>
 </ul>
 
 Desirable Skills And Aptitudes
 
 
 
 
 Required Skills and Aptitude
 
 
 
 <ul>
 <li>
 Deep Learning experience or knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
 </li>
 <li>
 Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design.
 </li>
 <li>
 Very strong hold on Pytorch and JIT.
 </li>
 <li>
 Well versed with open-source development practices.
 </li>
 <li>
 Ability to work independently, define requirements and scope, and lead a development effort.
 </li>
 <li>
 Mentors and guides team members through influence and example, without direct people‑management responsibility
 </li>
 <li>
 Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
 </li>
 <li>
 Strong developer with a research mindset &ndash; strives to innovate.
 
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experiences to run workloads on large scale heterogeneous clusters is a plus
 </li>
 <li>
 Knowledge of compiler is a plus.
 </li>
 <li>
 Hands-on experience with CUDA, CUDNN is a plus.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
 </li>
 <li>
 8+ years Software Engineering or related work experience.
 </li>
 <li>
 2+ years experience with Programming Language such as C++, Python.
 
 
 
 </li>
 </ul>
 
 What's On Offer
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
 <ul>
 <li>
 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to Know Our Team
 
 
 
 The Engineering department oversees all Agoda&rsquo;s ML and software related requirements. Our goal is to enable and increase Agoda&rsquo;s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
 
 
 
 Why Agoda Engineering Team (ML role)?
 
 
 
 Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API&rsquo;s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
 
 
 
 In this Role, you will get to:
 
 
 
 <ul>
 <li>
 Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines.
 </li>
 <li>
 Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
 </li>
 <li>
 Should be able to understand internals of ML models such as LightGBM, Random Forest, CNN, Regression models, etc
 </li>
 <li>
 Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
 </li>
 <li>
 Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
 </li>
 <li>
 We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in ML
 </li>
 <li>
 Expert in SQL, Python3, and JVM based programming language &ndash; ie, Java or Scala
 </li>
 <li>
 Expert in software design/design patterns, functional programming and object-oriented programming.
 </li>
 <li>
 Analytical problem-solving capabilities &amp; experience. A strong engineering driven mindset will be required to succeed in this role.
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Good understanding of Hadoop ecosystems and Big Data architecture and techologies
 </li>
 <li>
 Experience working with Open-source products
 </li>
 <li>
 Experience with Scala development
 </li>
 <li>
 Working in an agile environment using test driven methodologies
 </li>
 <li>
 Systems administration skills in Linux
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Hybrid Working Model
 </li>
 <li>
 WFH Set Up Allowance
 </li>
 <li>
 30 Days of Remote Working from anywhere globally every year
 </li>
 <li>
 Employee discount for accommodation globally
 </li>
 <li>
 Global team of 90+ nationalities
 </li>
 <li>
 40+ offices and 25+ countries
 </li>
 <li>
 Annual CSR / Volunteer Time off
 </li>
 <li>
 Benevity Subscription for employee donations
 </li>
 <li>
 Volunteering opportunities globally
 </li>
 <li>
 Free Headspace subscription
 </li>
 <li>
 Free Odilo &amp; Udemy subscriptions
 </li>
 <li>
 Access to Employee Assistance Program (third party for personal and workplace support)
 </li>
 <li>
 Enhanced Parental Leave
 </li>
 <li>
 Life, TPD &amp; Accident Insurance
 
 
 </li>
 </ul>
 #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior/Staff Machine Learning Engineer - Bidding (Bangkok based, relocation provided)

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Senior AI Engineer (Arabic Speaker)</h1>
Location: Riyadh, Saudi Arabia 
Experience: 6&ndash;8 Years 
Employment Type: Full-Time / Contract 
Language Requirement: Native or Fluent Arabic Speaker (Mandatory)<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms, with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions.
The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
AI &amp; Machine Learning Development</h3><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.</li><li>
Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.</li><li>
Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.</li><li>
Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.</li><li>
Evaluate and benchmark AI models to ensure performance, scalability, and reliability.</li></ul><h3 class="jobSectionHeader">
Generative AI Engineering</h3><ul><li>
Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.</li><li>
Develop conversational AI solutions, intelligent assistants, and knowledge management systems.</li><li>
Build prompt engineering frameworks and optimize prompts for business use cases.</li><li>
Implement vector databases and semantic search solutions.</li><li>
Develop AI agents and autonomous workflows using modern AI orchestration frameworks.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; AI Operations</h3><ul><li>
Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.</li><li>
Automate model deployment using CI/CD pipelines and infrastructure-as-code practices.</li><li>
Monitor model performance, drift detection, retraining strategies, and operational KPIs.</li><li>
Establish AI governance, model versioning, reproducibility, and compliance standards.</li><li>
Implement scalable AI platforms supporting multiple business units.</li></ul><h3 class="jobSectionHeader">
Cloud &amp; Platform Engineering</h3><ul><li>
Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI.</li><li>
Manage containerized AI environments using Docker and Kubernetes.</li><li>
Design scalable AI infrastructure supporting high-volume enterprise workloads.</li><li>
Optimize cloud resources, performance, and operational costs.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Integration</h3><ul><li>
Collaborate with data engineering teams to build AI-ready data pipelines.</li><li>
Integrate AI solutions with enterprise applications, APIs, databases, and business platforms.</li><li>
Ensure data quality, security, privacy, and compliance with organizational standards.</li></ul><h3 class="jobSectionHeader">
Stakeholder Management</h3><ul><li>
Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions.</li><li>
Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences.</li><li>
Mentor junior AI engineers, data scientists, and platform engineers.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Artificial Intelligence &amp; Machine Learning</h3><ul><li>
Machine Learning</li><li>
Deep Learning</li><li>
Natural Language Processing (NLP)</li><li>
Predictive Analytics</li><li>
Computer Vision (preferred)</li><li>
Reinforcement Learning (preferred)</li></ul><h3 class="jobSectionHeader">
Generative AI</h3><ul><li>
Large Language Models (LLMs)</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Prompt Engineering</li><li>
AI Agents &amp; Multi-Agent Systems</li><li>
Fine-Tuning and Model Optimization</li><li>
Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li><li>
LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen</li></ul><h3 class="jobSectionHeader">
MLOps</h3><ul><li>
MLflow</li><li>
Kubeflow</li><li>
Airflow</li><li>
Model Monitoring &amp; Observability</li><li>
CI/CD for ML</li><li>
Feature Stores</li><li>
Model Registry</li><li>
Experiment Tracking</li><li>
Model Governance</li></ul><h3 class="jobSectionHeader">
Cloud Platforms</h3><ul><li>
Microsoft Azure</li><li>
AWS</li><li>
Google Cloud Platform (GCP)</li><li>
Oracle Cloud Infrastructure (OCI) &ndash; Preferred</li></ul><h3 class="jobSectionHeader">
Containers &amp; DevOps</h3><ul><li>
Docker</li><li>
Kubernetes</li><li>
Git</li><li>
GitHub Actions</li><li>
Jenkins</li><li>
Terraform</li><li>
Infrastructure as Code</li></ul><h3 class="jobSectionHeader">
Programming Languages</h3><ul><li>
Python (Mandatory)</li><li>
SQL</li><li>
Bash/Shell Scripting</li><li>
Java or C# (Preferred)</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</li><li>
Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</li></ul><h2 class="jobSectionHeader">
Experience Requirements</h2><ul><li>
6&ndash;8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>
Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>
Proven experience building and operationalizing machine learning models in production environments.</li><li>
Strong experience implementing enterprise MLOps frameworks and practices.</li><li>
Experience working with cloud-native AI services and modern AI platforms.</li></ul><h2 class="jobSectionHeader">
Preferred Certifications</h2><ul><li>
Microsoft Azure AI Engineer Associate</li><li>
AWS Machine Learning Specialty</li><li>
Google Professional Machine Learning Engineer</li><li>
OCI AI Foundations Associate</li><li>
Kubernetes Certifications (CKA/CKAD)</li><li>
Databricks Machine Learning Professional</li></ul><h2 class="jobSectionHeader">
Soft Skills</h2><ul><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management abilities.</li><li>
Ability to work effectively in cross-functional and multicultural environments.</li><li>
Strong ownership, accountability, and leadership mindset.</li><li>
Passion for innovation and continuous learning.</li><li>
Ability to communicate fluently in both Arabic and English.</li></ul><h2 class="jobSectionHeader">
Mandatory Requirements</h2><ul><li>
Native or Fluent Arabic Speaker.</li><li>
6&ndash;8 years of relevant AI/ML engineering experience.</li><li>
Hands-on expertise in Generative AI and MLOps.</li><li>
Strong Python programming skills.</li><li>
Experience deploying AI solutions in enterprise production environments.</li><li>
Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul>
synAh1U1mw</div>

Senior AI Engineer (Arabic Speaker)

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 Engineering Group, Engineering Group &gt; Systems Engineering
 
 
 
 
 General Summary:
 
 
 
 
 
 About us
 
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
 
 .
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 
 About The Role
 
 
 
 
 The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond.
 
 
 We are seeking a Senior Staff Machine Learning Engineer to provide hands‑on technical leadership in the design, optimization, and deployment of machine learning frameworks and applications on Qualcomm AI platforms. This is an individual contributor role that operates with broad technical scope, high autonomy, and significant cross‑team impact. The successful candidate will drive complex initiatives end‑to‑end, influence technical direction through expertise and execution, and mentor engineers across the organization while remaining deeply hands‑on.
 
 
 Job activities span the full product life cycle, from early research and architecture through commercial deployment and sustained optimization. The role requires frequent cross‑functional collaboration, strong technical judgment, and the ability to independently plan, execute, and influence complex engineering efforts.
 
 
 
 We are looking for candidates with12+ years Systems Engineering or related work experience
 
 
 
 
 
 Responsibilities Will Include:
 
 
 
 
 <ul>
 <li>
 Research, design, develop, enhance, and implement the different components of machine learning frameworks, Graph optimizations for performance and accuracy tailored towards Qualcomm NPUs.
 </li>
 <li>
 Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
 </li>
 <li>
 Analyze and identify system level integration issues, interface with the software development, integration and test teams.
 </li>
 <li>
 Work on latest GenAI techniques and adapt those for NPUs. Architect new techniques which work best on Qualcomm SOCs and architecture.
 </li>
 <li>
 Provide technical leadership and mentorship through design reviews, architectural guidance, and hands‑on collaboration, influencing best practices without direct people‑management responsibility
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 
 
 <ul>
 <li>
 bachelor&rsquo;s degree in engineering, Information Systems, Computer Science, or related field.
 </li>
 <li>
 12+ years Systems Engineering or related work experience.
 
 
 
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 
 
 <ul>
 <li>
 Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
 </li>
 <li>
 Has experience in model level optimization using techniques like torch compile.
 </li>
 <li>
 Expertise in model architecture, backed by literature rationale and intuition
 </li>
 <li>
 Understanding of broad-spectrum model architectures across modalities, ML algorithms and techniques
 </li>
 <li>
 Expertise in Model training and inference workflows.
 </li>
 <li>
 Hands-on Experience in C/C++, Python development (5+ years)
 </li>
 <li>
 Hands-on Experience with Object Orientated Design, and software development practices in general
 </li>
 <li>
 Experience with Source Code and Configuration management tools, git knowledge is required
 
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications And Aptitudes
 
 
 
 
 <ul>
 <li>
 Willingness to work in a cohesive software development environment with ability to work on low level implementation (code &amp; test) and interfacing with hardware and simulators
 </li>
 <li>
 Experience in neural network architectures + ML compiler workload synthesis, a plus
 </li>
 <li>
 Prior working experience of hardware accelerators and hardware software co-design
 </li>
 <li>
 Experience of profiling software and optimization techniques
 </li>
 <li>
 Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms.
 </li>
 <li>
 A research mindset with expertise in software development
 
 
 
 </li>
 </ul>
 
 
 What's On Offer
 
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
 
 
 <ul>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Model Accuracy and AI Performance, Senior Staff Engineer - Riyadh, KSA

Brainlake

<div>
 We're looking for an experienced
 
 Senior Data Scientist
 
 to design and deliver data-driven solutions that solve complex business problems and create measurable impact.
 
 
 Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.
 
 
 
 Requirements
 
 
 
 
 What You'll Do
 
 
 
 ❏ Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities
 
 
 ❏ Translate business requirements into scalable data science and machine learning solutions
 
 
 ❏ Validate data availability and define analytical approaches for new use cases
 
 
 ❏ Build predictive models, machine learning solutions, and GenAI applications
 
 
 ❏ Design robust data pipelines and analytical workflows
 
 
 ❏ Apply data processing, feature engineering, and statistical modelling techniques
 
 
 ❏ Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices
 
 
 ❏ Present analytical findings and recommendations to technical and executive stakeholders
 
 
 ❏ Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way
 
 
 ❏ Mentor junior team members and support technical delivery across multiple initiatives
 
 
 
 You're Our Match If You Have
 
 
 
 ❏ Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field
 
 
 ❏ 5+ years of hands-on experience delivering data science or machine learning solutions
 
 
 ❏ Strong Python programming skills and experience with modern data science libraries
 
 
 ❏ Experience building predictive models, machine learning solutions, and GenAI applications
 
 
 ❏ Strong understanding of statistics, data modelling, and feature engineering
 
 
 ❏ Experience designing scalable data pipelines and production-ready AI solutions
 
 
 ❏ Familiarity with MLOps, model deployment, and machine learning lifecycle management
 
 
 ❏ Excellent stakeholder management and communication skills
 
 
 ❏ Ability to translate complex technical concepts into business value
 
 
 
 Bonus Points If You Have Experience With
 
 
 
 ❏ Telecommunications or other customer-centric industries
 
 
 ❏ Large-scale customer analytics and segmentation
 
 
 ❏ Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
 
 
 ❏ Cloud platforms such as Azure, AWS, or Google Cloud
 
 
 ❏ Databricks, Spark, or distributed data processing
 
 
 ❏ Docker, Kubernetes, or CI/CD pipelines
 
 
 ❏ Leading or mentoring technical teams
</div>

Senior Data Scientist

Proven

Key Responsibilities:<ul><li>Design and develop AI/ML models for real-world applications</li><li>Build and deploy scalable machine learning pipelines</li><li>Work with large datasets for training, validation, and optimization</li><li>Develop and integrate NLP, computer vision, or predictive analytics solutions (as required)</li><li>Collaborate with data engineers, software developers, and product teams</li><li>Optimize model performance and ensure production readiness</li><li>Stay updated with latest AI frameworks and technologies</li></ul>Requirements:<ul><li>Minimum 5 years of experience in AI/ML development</li><li>Strong experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>Solid understanding of machine learning, deep learning, and statistical modeling</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Familiarity with deploying models in cloud environments (AWS / Azure / GCP)</li><li>Strong problem-solving and analytical skills</li></ul>Preferred:<ul><li>Experience with NLP, LLMs, or computer vision</li><li>Knowledge of MLOps tools (Docker, Kubernetes, MLflow)</li><li>Experience working in agile product teams</li></ul>Pay: ﷼13,000.00 - ﷼16,000.00 per monthWork Location: In person

AI Developer

MASTER-WORKS

<div>Our subsidiary (Nabeh) is seeking an AI Solution, Engineer who combines strong technical knowledge in AI and software engineering with excellent customer-facing and presentation skills. The role will work closely with Sales, Product, and Engineering teams to understand customer requirements, define solution scope, build Proofs of Concept, demonstrate AI products, and translate business needs into practical technical solutions.
Key Responsibilities:<ul><li>
Build and deliver AI Proofs of Concept and technical prototypes.</li><li>
Support Sales during customer meetings, workshops, and product demonstrations.</li><li>
Understand customer requirements and translate them into clear technical and product scopes.</li><li>
Evaluate AI models and technologies based on accuracy, performance, and business needs.</li><li>
Prepare high-level solution architectures, workflows, and technical documentation.</li><li>
Support technical proposals, RFPs, and RFIs.</li><li>
Define POC success criteria, assumptions, limitations, and dependencies.</li><li>
Coordinate with Product and Engineering teams to ensure smooth project handover.</li><li>
Collect customer feedback and recommend product enhancements.</li><li>
Communicate technical capabilities and limitations to technical and non-technical stakeholders.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li><li>
+3 years of experience in AI engineering, software engineering, solution engineering, or technical pre-sales.</li><li>
Strong knowledge of AI, machine learning, Generative AI, and software development.</li><li>
Hands-on experience with Python, APIs, databases, and backend development.</li><li>
Familiarity with LLMs, RAG, computer vision, speech AI, or document intelligence.</li><li>
Ability to build prototypes and integrate AI models into applications.</li><li>
Strong communication, presentation, and problem-solving skills.</li><li>
Ability to translate business requirements into practical technical solutions.</li><li>
Native Arabic speaker is mandatory.</li><li>
Strong professional proficiency in English is required.</li></ul>
Preferred Skills<ul><li>
FastAPI, Flask, or Django</li><li>
PostgreSQL and vector databases</li><li>
Docker and Kubernetes</li><li>
Cloud and on-premises AI deployments</li><li>
AI model serving and GPU infrastructure</li><li>
Product demonstrations and technical proposal writing</li></ul>
Job location: HQ 
Benefits</div>

AI Solution, Engineer

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