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machine learning engineer (datacentre ai engineering) - riyadh, ksa Jobs in Riyadh

machine learning engineer (datacentre ai engineering) - riyadh, ksa

senior software engineer

data engineer

digital engineer

machine learning engineer

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; 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></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>

Machine Learning Engineer (Datacentre 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.
We are seeking a Full-Stack Machine Learning Engineer to join our team, bridging AI solutions development with AI platform engineering for Qualcomm&rsquo;s AI Inference Suite and rack-scale data center deployments. This role involves designing, delivering, and supporting end-to-end AI services, agentic workflows, and fine-tuning pipelines, while enabling lifecycle automation, orchestration, and observability for large-scale data center environments.
You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
Key Responsibilities will include:<ul><li>
API Development &amp; Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.</li><li>
Agentic Workflows &amp; RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.</li><li>
Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.</li><li>
LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.</li><li>
SDK &amp; Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.</li><li>
Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.</li><li>
Telemetry &amp; Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.</li><li>
Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.</li><li>
Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.</li><li>
Monitoring &amp; Dashboards: Build dashboards for rack health, inventory, and SLA compliance.</li><li>
Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.</li></ul>
Minimum Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
5+ years of software engineering experience; 3+ years in ML or HPC environments.</li><li>
Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.</li><li>
Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.</li><li>
Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.</li><li>
Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.</li></ul>
Preferred Qualifications<ul><li>
Master&rsquo;s degree in Computer Science, Machine Learning, or related field.</li><li>
Experience building inference and fine-tuning pipelines, as well as agentic workflows.</li><li>
Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.</li><li>
Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).</li><li>
Contributions to inference and GenAI model performance optimization.</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></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>

Full Stack Machine Learning Engineer (Datacentre AI Engineering) - Riyadh, KSA

<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>

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)

DatascienceME

About the RoleWe are looking for a Data Scientist to analyze large datasets and build data-driven solutions that drive business decisions at Datascience. You will use machine learning, statistical analysis, and visualization techniques to uncover insights and improve our operations.Key Responsibilities<ul><li>Identify valuable data sources and automate data collection.</li><li>Clean, preprocess, and analyze structured and unstructured data.</li><li>Build predictive models and machine learning algorithms.</li><li>Visualize results using modern BI tools and dashboards.</li><li>Collaborate with cross-functional teams to translate data into actionable insights.</li><li>Recommend strategies to solve complex business problems.</li></ul>Requirements<ul><li>Proven experience as a Data Scientist or similar role.</li><li>Strong skills in Python, R, and SQL; familiarity with Scala, Java, or C++ is a plus.</li><li>Hands-on experience with machine learning, data mining, and statistical modeling.</li><li>Knowledge of Tableau, Power BI, or similar visualization tools.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (Master&rsquo;s preferred).</li></ul>Why Join Us<ul><li>Work on real-world AI and data challenges.</li><li>Collaborative, innovative work environment.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you a Saudi national?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>

Data Scientist

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>

Astek

<div>
 
 For one of our client I'm looking for a
 
 Data Scientist
 
 . We are on the lookout for a highly skilled individual with a passion for leveraging data to drive evidence-based decision-making.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 
 Design and Implement ML Models
 
 : Develop machine learning algorithms to tackle complex challenges and improve efficiency.
 </li>
 <li>
 
 Data Analysis
 
 : Analyze data to gather insights that drive strategic decisions.
 </li>
 <li>
 
 Stakeholder Collaboration
 
 : Work with various stakeholders to grasp business requirements and design appropriate data solutions.
 </li>
 <li>
 
 Data Pipeline Maintenance
 
 : Ensure data integrity and availability by developing and maintaining pipelines and databases.
 </li>
 <li>
 
 Data Visualization
 
 : Use Power BI to create visualizations and dashboards that communicate findings effectively to diverse audiences.
 </li>
 <li>
 
 Statistical Validation
 
 : Conduct statistical analyses to validate the outputs of machine learning models.
 </li>
 <li>
 
 Industry Awareness
 
 : Keep up with industry trends and emerging technologies to enhance data capabilities.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 Education
 
 : Requires a bachelor&rsquo;s degree in IT, Computer Science, Data Science, or a related field.
 </li>
 <li>
 
 Experience
 
 : Proven experience as a Data Scientist, ideally within the healthcare sector.
 </li>
 <li>
 
 Technical Skills
 
 :
 </li>
 </ul>
 
 Proficiency in
 
 Python
 
 and
 
 SQL
 
 .
 
 
 Expertise in data visualization (notably
 
 Power BI
 
 ).
 
 <ul>
 <li>
 
 Machine Learning Knowledge
 
 : A solid understanding of machine learning concepts and algorithms.
 </li>
 <li>
 
 Analytical Skills
 
 : Strong analytical and problem-solving abilities.
 </li>
 <li>
 
 Communication Skills
 
 : Ability to communicate and collaborate effectively.
 </li>
 </ul>
 
 
</div>

Explore 685+ Machine learning engineer in Riyadh this December. Find roles across top companies and apply now to boost your career.

685 machine learning engineer jobs IN Riyadh

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

Full Stack Machine Learning Engineer (Datacentre AI Engineering) - Riyadh, KSA

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

AI Engineer (Arabic Speaker)

Data Scientist

Data Scientist

Data Scientist