mechanical engineer

planning engineer

project engineer

ai engineer

automation engineer

ml engineer

Jawraa

Role Summary <ul><li>Build, train, and deploy AI/ML models to support company products and automation initiatives. 4 7 years in AI/ML engineering Strong hands-on with AI models, LLMs, MLOps</li></ul>Responsibilities<ul><li>Develop AI/ML models for prediction, automation, and classification.</li><li>Preprocess and analyze datasets.</li><li>Deploy machine-learning pipelines into production.</li><li>Work with cross-functional teams to integrate AI solutions.</li><li>Monitor model performance and perform optimizations.</li><li>Ensure compliance with Saudi data governance standards.</li><li>Build, train, and deploy machine learning models.</li><li>Contribute to AI project architecture.</li><li>Optimize model performance.</li><li>Implement AI pipelines using cloud platforms (OCI preferred).</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s in AI, Data Science, Computer Science, or Engineering.</li><li>Arabic speaker (mandatory).</li></ul>Technical Skills<ul><li>Python, TensorFlow, PyTorch</li><li>Machine learning, deep learning algorithms</li><li>Data visualization and analysis</li><li>MLOps tools (Docker, Kubernetes, MLflow)</li><li>Cloud AI services (AWS Sagemaker, Azure ML)</li></ul>Soft Skills<ul><li>Problem-solving &amp; innovation</li><li>Clear communication with non-technical stakeholders</li><li>Strong research abilities</li></ul>Preferred Certifications <ul><li>Google Professional ML Engineer</li><li>AWS Machine Learning Specialty</li><li>TensorFlow Developer Certificate</li></ul>Job Types: Full-time, Contract Contract length: 12 monthsPay: Up to &#65020;17,000.00 per month

AI Engineer (Arabic Speaker)

Qualcomm

<div><h2 class="jobSectionHeader">Company:</h2>
Qualcomm Middle East Information Technology Company LLC<h2 class="jobSectionHeader">
Job Area:</h2>
Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
About Us
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.
About the Role
As a Qualcomm Datacentre AI Solutions Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacentre technology.
Qualcomm Solution Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm AI inference accelerators for data center, and hybrid AI applications.
Shape
Principal Duties and Responsibilities will include:<ul><li>
Develop AI/ML solutions that bring together Qualcomm AI hardware products, technologies, software, and ecosystem and provide best-in-class AI inference performance, power efficiency and scalability</li><li>
Assist in the design, development, implementation and deployment of Gen AI and LLM applications</li><li>
Contribute towards implementing fine tuning and distillation techniques</li><li>
Apply Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and AI solutions while ensuring system-level requirements and standards are met</li><li>
Perform AI model benchmarking and functional analysis to drive requirements and specifications</li><li>
Support customer engagement with AI model/workload optimization and deployment</li><li>
Build AI solutions and develop and analyze system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system</li><li>
Collaborate with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of AI systems</li><li>
Keep abreast with the latest advancements in the AI/ML space (models, HW/SW) and drive innovative solutions.</li><li>
Develops new and innovative ideas for a product or feature area</li><li>
Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members.</li></ul>
Preferred Qualifications &amp; Skills:<ul><li>
Master's or PhD Degree in Engineering, Information Systems, Computer Science, Physics or related field</li><li>
Proficiency in Python and ML frameworks, APIs, REST, microservices</li><li>
Working experience with AI systems</li><li>
Good understanding of GenAI architectures from transformers, diffusion, hybrid - LLMs, LVMs, embeddings</li><li>
Experience with architectural Patterns for Large-Scale AI Systems: Knowledge of microservices, distributed systems, event-driven architectures, fault-tolerant design principles</li><li>
Experience with MLOps for AI application development and deployments</li><li>
Experience with automation tools like GitOps, containerization technologies (Docker, Kubernetes), ML lifecycle management tools is a plus</li><li>
Problem solving experience and customer focused</li><li>
Experience with cluster schedulers (Slurm, PBS), orchestrators, workload managers for resource allocation is a plus</li><li>
Experience with observability tools for ML pipelines</li><li>
Experience working in a large matrixed organization</li><li>
Experience with fine-tuning GenAI models and Reinforcement Learning is a plus</li><li>
Well versed with open-source development practices</li><li>
Experience with rack-level orchestration tools and data center automation is a plus</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 Systems Engineering or related work experience.
</li></ul>OR 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
 
OR 
PhD in Engineering, Information Systems, Computer Science, or related field.<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><div>
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).</div>
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>

AI Solutions Engineer (Datacenter AI Engineering) - Riyadh, KSA

<div><h2 class="jobSectionHeader">Company:</h2>
Qualcomm Middle East Information Technology Company LLC<h2 class="jobSectionHeader">
Job Area:</h2>
Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
About Us
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
About the Role
We are recruiting for a Site Reliability Engineer &ndash; Datacentre AI Engineering at Qualcomm Technologies, Inc., located in Riyadh, Saudi Arabia. This role centres on designing, maintaining, and scaling large-scale AI inference systems in a datacentre environment. You will support critical AI use cases, ensuring that Qualcomm&rsquo;s infrastructure is robust, reliable, and scalable for advanced machine learning workloads.
Key Responsibilities will include
AI Infrastructure<ul><li>
Design and maintain large-scale AI Inference systems supporting critical AI use cases.</li><li>
Ensure reliability, operability, and scalability of the Qualcomm data-centre cluster</li><li>
Build software tools and ecosystems around AI software stacks.</li></ul>
AI &amp; ML Engineering<ul><li>
Analyse software requirements and consult with architecture and hardware engineers.</li><li>
Hands-on experience in building Agentic AI solutions, LLM orchestration and agentic AI libraries.</li><li>
Collaborate with model, systems &amp; software teams to improve model performance on AI100 deployments</li><li>
Identify features that optimize workloads for multi-SoC and multi-card systems</li></ul>
Site Reliability Engineering (SRE)<ul><li>
Implement SRE fundamentals: incident management, monitoring, performance optimization</li><li>
Hands-on experience with MLOps tools and practices, ensuring seamless integration of ML models into production</li><li>
Establish operational maturity frameworks and sustainable incident response protocols.</li></ul>
Observability &amp; Tooling<ul><li>
Build tools and frameworks to improve observability and define reliability metrics.</li><li>
Monitor system health using Prometheus, Grafana, Cloudwatch, and custom telemetry.</li><li>
Create and maintain documentation and knowledge base articles.</li></ul>
Automation &amp; CI/CD<ul><li>
Design automation tools to reduce manual processes and operational overhead.</li><li>
Ensure CI/CD reliability for agent deployment cycles.</li><li>
Apply Infrastructure as Code practices using tools like Terraform CDK.</li></ul>
Required Skillset includes:
AI &amp; Deep Learning<ul><li>
Experience with LLMs, NLP, Vision, Audio, and Recommendation systems.</li><li>
Proficiency with LLM inference concepts: token streaming, batching, KV cache.</li><li>
Proficiency in PyTorch, TensorFlow, JAX, and Ray.</li><li>
Familiar with GPU / TPU compute, ML frameworks, checkpointing and distributed inferencing</li></ul>
AI Agent Operations<ul><li>
Experience supporting GenAI or agentic AI applications in production.</li><li>
Familiarity with LLM orchestration, prompt reliability, and RAG systems.</li><li>
Exposure to LangChain, AutoGen, and similar agent orchestration frameworks.</li></ul>
Programming &amp; Software Design<ul><li>
Strong programming skills in Python with experience in PyTorch</li><li>
Scripting (Python, Bash), configuration management (Ansible/Terraform), orchestration</li></ul>
Systems &amp; Infrastructure<ul><li>
Strong Linux fundamentals: shell, systemd, containers, networking (TLS, DNS, HTTP/2, gRPC).</li><li>
Expertise in Slurm (configuration, scheduling, plugins/extensions) or equivalent</li><li>
Good knowledge of networking (RDMA, InfiniBand, RoCE, high-throughput, low-latency networks)</li><li>
Experience operating and scaling distributed systems with high availability.</li></ul>
Observability &amp; Monitoring<ul><li>
Hands-on experience with Prometheus, Grafana, ELK, Loki, Datadog, SIP, Homer.</li><li>
Exposure to hardware health monitoring and system reliability.</li></ul>
DevOps &amp; SRE Practices<ul><li>
Deep understanding of SDLC, release management, and system reliability.</li><li>
Familiarity with CI/CD pipelines (Jenkins, GitLab) and Infrastructure as Code (Terraform CDK).</li></ul>
Qualifications &amp; Experience:<ul><li>
Bachelor's / Masters degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.</li><li>
4-5 years&rsquo; of Software Engineering or related work experience.</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 4+ years of Software Engineering or related work experience.
</li></ul>OR 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. 
OR 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 
 
<ul><li>2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.</li></ul><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><div>
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).</div>
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>

Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA

Capgemini

<div>
 
 About The Job You Are Considering
 
 
 
 Capgemini Global Insights &amp; Data business line is a market leader in the data, platform, and analytics across all regions and across many sectors (including financial services, consumer products, manufacturing &amp; life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics / AI solutions.
 
 
 Your Role
 
 
 We are looking for a skilled Full Stack / Back End Developer with a strong foundation in Python and AI-related technologies. You will participate in the technical design, implementation, documentation, testing, and deployment of scalable web applications. The role focuses on developing front-end interfaces using ReactJS and building robust APIs and services using NodeJS and Python, with opportunities to contribute to AI-driven features and data pipelines.
 
 
 <ul>
 <li>
 Analytical Thinking &amp; Problem Solving: Proven ability to dissect complex problems and provide actionable insights in a timely manner.
 </li>
 <li>
 hands-on experience in full stack development with a strong focus on:
 </li>
 <li>
 ReactJS, NodeJS, Python
 </li>
 <li>
 GraphQL, REST APIs
 </li>
 <li>
 JavaScript (ES6+), HTML5, CSS3, Sass
 </li>
 <li>
 Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a strong plus
 </li>
 <li>
 Familiarity with data processing pipelines, model integration, or AI service deployment.
 </li>
 <li>
 Proficiency in relational databases (MySQL, MariaDB, MSSQL) and NoSQL databases (MongoDB, Redis).
 </li>
 <li>
 Experience with Redux, async/await, Promises, and functional programming.
 </li>
 <li>
 Understanding of web standards, native DOM APIs, event handling, and cross-browser compatibility.
 </li>
 <li>
 Strong grasp of software development best practices: unit testing, CI/CD, modular architecture, and secure coding
 </li>
 <li>
 Excellent problem-solving, debugging, and analytical skills
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 Design, build, and maintain modern, scalable front-end applications using ReactJS.
 </li>
 <li>
 Develop and maintain secure, modular, and well-documented backend services using NodeJS and Python.
 </li>
 <li>
 Integrate AI/ML models into web applications and APIs where applicable.
 </li>
 <li>
 Collaborate with cross-functional teams to define, design, and ship new features.
 </li>
 <li>
 Optimize application performance and address bottlenecks across the stack.
 </li>
 <li>
 Write clean, testable code and participate in code reviews.
 </li>
 <li>
 Contribute to architectural decisions and technical documentation.
 
 
 </li>
 </ul>
 Why you should consider Capgemini
 
 
 Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
 
 
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.
 
 
 #GetTheFutureYouWant| www.capgemini.com
</div>

Full Stack Developer

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 General Summary
 
 
 
 
 About Us
 
 
 
 Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
 
 
 
 About The Role
 
 
 
 The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions for Datacentre AI. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction. Good communication, planning, and execution skills are a must.
 
 
 
 Key Responsibilities Will Include
 
 
 
 <ul>
 <li>
 Analyse 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>
 Analyse and identify system level issues, interface with the software development, integration, and test teams
 </li>
 <li>
 Lead high-performance teams towards system design and deliverables.
 </li>
 <li>
 Proven track record of leading teams in Machine learning software engineering.
 </li>
 <li>
 Strong foundation of Mathematical modelling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space.
 </li>
 <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 analyse 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>
 Optimise workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.
 </li>
 <li>
 Optimise the entire deep learning pipeline including graph compiler integration.
 </li>
 <li>
 Apply knowledge of software engineering best practices.
 
 
 
 </li>
 </ul>
 
 Desirable Skills And Aptitudes
 
 
 
 <ul>
 <li>
 Deep Learning experience and knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Diffusion, Recommendation systems.
 </li>
 <li>
 Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks.
 </li>
 <li>
 Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
 </li>
 <li>
 Ability to work independently, define requirements and scope, and lead your own development effort.
 </li>
 <li>
 Well versed with open-source development practices.
 </li>
 <li>
 Strong developer with a research mindset &ndash; strives to innovate.
 </li>
 <li>
 Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
 </li>
 <li>
 Knowledge of tiling and scheduling a Machine learning operator is a plus.
 </li>
 <li>
 Experience in using C++ 14 (advanced features)
 </li>
 <li>
 Experience of profiling software and optimization techniques
 </li>
 <li>
 Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus.
 </li>
 <li>
 Experience of ML compiler, Auto-code generation (using MLIR) is a plus.
 </li>
 <li>
 Experience in deploying workloads on large scale heterogeneous clusters 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>
 2-10 years&rsquo; of Software Engineering or related work experience.
 </li>
 <li>
 2-10 years&rsquo; 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 (Datacentre AI Engineering) - Riyadh, KSA

DeepSource Technologies

Role Overview: 
We are seeking a highly skilled Senior AI Infrastructure & Platform Engineer to join our client’s team in Riyadh. In this role, you’ll be responsible for building, managing, and optimizing scalable AI infrastructure and compute environments that support high-performance workloads, including GPU-accelerated AI/ML pipelines, cluster scheduling, and orchestration.
 
Key Responsibilities: 
<ul>
<li>Deploy, maintain, and optimize GPU-based compute clusters and infrastructure.</li>
<li>Manage and operate GPU orchestration tools and platforms such as:</li>
<li>Nvidia Base Command Manager (critical)</li>
<li>Nvidia AI Enterprise Suite</li>
<li>Nvidia GPU and Network Operators</li>
<li>Nvidia NIMs and Blueprints</li>
<li>Configure, deploy, and maintain compute workloads using scheduling and orchestration tools including:</li>
<li>Slurm (critical)</li>
<li>Vanilla Kubernetes</li>
<li>Install, configure, and maintain the underlying OS (e.g. Canonical Ubuntu) and supporting system software.</li>
<li>Monitor and troubleshoot infrastructure performance, availability, and reliability; ensure high uptime for AI/ML workloads.</li>
<li>Work with data scientists, ML engineers, and dev teams to define infrastructure requirements, resource allocation, and deployment workflows.</li>
<li>Develop automation scripts, CI/CD pipelines, and best practices for infrastructure provisioning and management.</li>
<li>Document architecture, configurations, and operational procedures; enforce security, compliance, and backup policies.</li>
</ul>
Requirements: 
Required Skills & Experience: 
<ul>
<li>Proven experience managing GPU-based AI/ML infrastructure and compute clusters.</li>
<li>Hands-on experience with:</li>
<li>Nvidia Base Command Manager</li>
<li>Nvidia AI Enterprise Suite</li>
<li>Nvidia GPU/Network Operators, NIMs, Blueprints</li>
<li>Strong experience with Slurm and/or Kubernetes orchestration.</li>
<li>Solid Linux system administration skills — preferably on Ubuntu or similar distributions.</li>
<li>Strong scripting/automation ability (e.g. Bash, Python, or relevant tooling) for provisioning, deployment, and maintenance.</li>
<li>Excellent troubleshooting and performance-tuning skills.</li>
<li>Experience collaborating with ML/data science teams and integrating infrastructure with their workflows.</li>
<li>Strong understanding of networking, security, resource allocation, and cluster management best practices.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Previous experience working in a high-performance computing (HPC) or AI-focused infrastructure team.</li>
<li>Knowledge of containerization, container orchestration, and GPUs in cloud or on-prem environments.</li>
<li>Experience with CI/CD, infrastructure-as-code (e.g. Terraform, Ansible), monitoring tools, and logging setups.</li>
<li>Familiarity with workload scheduling, job queuing, resource quotas, and GPU-shared environments.</li>
</ul>

Senior AI Infrastructure & Platform Engineer - Riyadh,KSA

MBC GROUP

<div>
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 
 Model Development &amp; Implementatio
 
 n: Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks
 </li>
 <li>
 
 .AI Solution
 
 s: Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions
 </li>
 <li>
 
 .Data Analysis &amp; Exploratio
 
 n: Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development
 </li>
 <li>
 
 .Collaborative Problem Solvin
 
 g: Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives
 </li>
 <li>
 
 .Model Optimizatio
 
 n: Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration
 </li>
 <li>
 
 .Scalability &amp; Performanc
 
 e: Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability
 </li>
 <li>
 
 .Stay Current with AI Trend
 
 s: Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage
 </li>
 <li>
 
 .Reporting &amp; Communicatio
 
 n: Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts
 </li>
 </ul>
 
 
 
 
 
 .
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 :
 
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related fie
 </li>
 <li>
 ld.Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analyti
 </li>
 <li>
 cs.Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholde
 </li>
 <li>
 rs.Strong proficiency in programming languages such as Python, R, or simil
 </li>
 <li>
 ar.Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluati
 </li>
 <li>
 on.Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or simil
 </li>
 <li>
 ar.Solid understanding of statistical methods, hypothesis testing, and data modeling techniqu
 </li>
 <li>
 es.Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a pl
 </li>
 </ul>
 
 
 
 us.
</div>

Data Scientist

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