mechanical engineer

project engineer

ai developer

application support engineer Jobs in Riyadh

application support engineer

architect engineer

ai ml engineer

SARJ

<div>Sarj.ai is hiring an AI/ML Engineer to train and deploy speech models that power our voice communications platform. We work in Python and PyTorch on GCP. Strong deep learning fundamentals highly appreciated.<h3 class="jobSectionHeader">
What you'll do</h3><ul><li>
Train large-scale speech models (STT/TTS)</li><li>
Work with modern speech architectures and push them to production</li><li>
Build and maintain ML training pipelines for real-time voice processing</li><li>
Develop evaluation frameworks and improve model performance</li><li>
Collaborate with product and engineering to ship AI-powered features</li></ul><h3 class="jobSectionHeader">
What we're looking for</h3><ul><li>
2+ years working with ML in production</li><li>
Strong Python + PyTorch/PyTorch Lightning</li><li>
Understanding of deep learning fundamentals</li><li>
Experience with speech/audio ML is a strong plus</li><li>
Experience with large-scale or distributed training</li><li>
Familiarity with GCP (Vertex AI, Cloud Run, BigQuery)</li></ul></div>

AI Research Engineer

Cognizant

Job Summary
 We are seeking a versatile and highly skilled AI Expert to join our innovative team. This role requires a unique blend of expertise in Large Language Models (LLMs) on the Azure platform and the application of AI in 3D modeling. The ideal candidate will be a creative technologist passionate about pushing the boundaries of generative AI, from developing intelligent Copilot agents to creating immersive 3D worlds. You will be responsible for designing, developing, and deploying cutting-edge AI solutions that span conversational AI and advanced 3D content generation.
 Key Responsibilities
 Holistic AI Solution Design: Architect and implement end-to-end AI solutions that leverage the full spectrum of generative AI, including both language and visual modalities.
 
Conversational & Agentic AI: 
Design and develop sophisticated conversational AI agents using Microsoft Copilot Studio and the Azure AI ecosystem (including Azure OpenAI Service).
 Build and implement LLM-based applications, leveraging frameworks like LangChain for complex Retrieval-Augmented Generation (RAG) and agentic workflows.
 
Integrate AI agents with enterprise data sources (e.g., SharePoint, SQL Server) and automate business processes using Power Automate.
 
AI for 3D Modeling: 
Utilize and develop AI-powered tools to assist, automate, and enhance the creation of high-quality 3D models.
 Design, implement, and train large-scale generative models (e.g., diffusion models) for generating 3D assets and environments from text or 2D images.
 Create and manage scalable data pipelines for large, unstructured, multi-modal data sources (text, images, 3D models) to fuel machine learning initiatives.
 
MLOps & Collaboration: 
Take ownership of the full lifecycle of ML models, including deployment, containerization, CI/CD, and performance monitoring.
 Collaborate closely with business stakeholders, designers, and research teams to translate product requirements into a cohesive technical roadmap.
 Qualifications
 Experience: 5+ years of hands-on experience in AI/ML engineering or data science, with a proven track record of building and deploying complex AI solutions.
 
Core Technical Skills: 
Proficiency in Python and common ML/DL libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 Strong experience with the Azure AI/Data ecosystem, particularly Azure Machine Learning and Azure OpenAI Service.
 
Generative AI Expertise: 
Hands-on experience with Microsoft Copilot Studio and building conversational agents.
 Experience with generative models (GANs, Diffusion Models, LLMs) is a significant plus.
 
3D Modeling Skills: 
A strong portfolio showcasing 3D modeling work is highly desirable.
 Familiarity with 3D modeling software (e.g., Blender, Maya, ZBrush) and computational geometry is a plus.
 
Education : 
Bachelor's or Master's degree in Computer Science, Engineering, Graphic Design, or a related technical discipline.

AI Expert

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div> 
What you'll build 
You will work with customers, identify high‑impact AI use cases in their SAP landscape, and build end‑to‑end solutions in close collaboration with multiple roles at SAP within product &amp; engineering and customer services &amp; delivery. 
You will: 
<ul><li>
Work directly with Public Sector customers in KSA to discover, prioritize, and frame AI use cases on top of S/4HANA and SAP BTP.
</li><li>Design and implement end‑to‑end AI solutions: data pipelines from SAP, model selection/integration (SAP Business AI / BTP services), and UI/process integration.
</li>Run agile cycles (PoC pilot<li> production), gather user feedback, and drive adoption in real business processes.
</li><li>Act as the &ldquo;bridge&rdquo; between Riyadh Lab customers and global SAP Product &amp; Engineering, feeding requirements, gaps, and patterns into the roadmap.
</li>Produce reusable accelerators (reference architectures, templates, best practices) that can be scaled across KSA and the region. 
<li>
</li></ul>What you bring 
You are able to translate business challenges into clear technical designs and deliver end‑to‑end, production‑ready solutions. You are confident working directly with customers, leading discovery sessions, delivering demos, and explaining technical trade‑offs in business terms. You are comfortable operating in a forward‑deployed role, taking ownership, collaborating closely with global teams, and staying motivated by creating real, measurable impact for customers. Experience working with local customers and partners is a plus. 
In a nutshell &ndash; you have: 
<ul><li>
Usually 10+ years of professional experience</li><li>
Solid grounding in data and AI/ML concepts (data modelling, APIs, common AI patterns such as forecasting, classification, copilots/assistants).</li><li>
End to End process knowledge of fundamental Public Sector processes such as Budget Planning, Budget Execution, Grants Management or Funds Management.</li><li>
Knowledge of the Public Sector market, its evolution, industry-specific challenges and SAP&rsquo;s industry portfolio</li><li>
Confidence in customer‑facing work and partner-facing work: discovery workshops, demos, handling challenging stakeholders, and explaining technical trade‑offs in business language.</li><li>
Software engineering background (e.g., Python/Java/TypeScript) plus hands‑on experience with SAP BTP, integrations, and at least one major SAP domain (finance, logistics, HR, public sector).</li><li>
Prototyping skills with tools like Claude Code or FIGMA.</li><li>
Fluent professional proficiency in English and Arabic, both written and spoken (as a must).</li></ul> 
And you are: 
<ul><li>
Comfortable operating like a &ldquo;forward‑deployed&rdquo; engineer: high ownership, ambiguity‑tolerant, collaborative with global teams, and motivated by real impact at customers.</li></ul> 
Where you belong 
You will be part of a growing AI and industry expert team dedicated to serving customers across the KSA. We are building a collaborative, high impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. 
This team thrives working together on fast-paced projects to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real world impact matters. 
This is a place for people who enjoy building something new. You will thrive here if you are customer centric, motivated by meaningful outcomes, and comfortable navigating fast evolving AI landscape.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450203 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

AI (Chief-) Product Expert for Public Sector

DeepSource Technologies

<div>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.
Key Responsibilities<ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function. 
</li></ul> 
 
Requirements<ul><li> 
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div>

AI Architect - Riyadh,KSA

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 the role
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.
Qualcomm is seeking a Senior Staff / Principal Software Architect to define, evolve, and technically lead rack management software platforms for AI accelerator deployments in hyperscale and sovereign data center environments. This role is responsible for end-to-end architectural ownership across provisioning, monitoring, orchestration, security, and lifecycle management for rack-scale AI systems spanning heterogeneous hardware and software stacks.
The architect will operate at the intersection of hardware, firmware, infrastructure software, and operations , setting long-term technical direction while remaining hands-on where critical. This role partners closely with platform architects, hardware teams, ODMs, ISVs, and customer engineering teams to deliver scalable, secure, and operable rack management systems in production data centers.
Key Responsibilities
Architecture &amp; Technical Leadership
<ul><li>Own the end-to-end architecture for rack management software covering provisioning, monitoring, orchestration, and lifecycle management for AI accelerator racks.
</li><li>Define reference architectures, design patterns, and technical standards for rack-scale management software across Qualcomm data center platforms.
</li><li>Drive architectural decisions across control plane, telemetry, security, and lifecycle workflows while balancing scale, reliability, and operability.
</li><li>Review and approve designs across teams; provide architectural mentorship to Senior and Staff engineers.
</li></ul>Rack &amp; Hardware Integration
<ul><li>Architect integrations with rack-level hardware components including BMCs, PDUs, CDUs, PCIe switches , and accelerators using Redfish, SNMP, IPMI , and vendor-specific extensions.
</li><li>Establish scalable approaches for firmware lifecycle management, crash dump collection, remote diagnostics, and failure isolation .
</li><li>Define system behavior across power, thermal, networking, and PCIe fabrics at rack scale.
</li></ul>Platform &amp; Orchestration Integration
<ul><li>Architect integration between rack management software and cluster orchestration and provisioning frameworks (e.g., Kubernetes, Terraform, Foreman).
</li><li>Partner with AI platform teams to align rack-level controls with AI workload orchestration, scheduling, and capacity management .
</li><li>Enable multi-rack / multi-cluster federation patterns where required for large deployments.
</li></ul>Observability, Reliability &amp; Operations
<ul><li>Define telemetry, observability, and diagnostics architectures using systems such as Prometheus, Grafana, and log aggregation pipelines.
</li><li>Establish architectural frameworks for reliability, fault isolation, MTTR reduction, and Day-2 operations .
</li><li>Ensure operational readiness with clear runbooks, dashboards, and escalation paths aligned to real-world datacenter operations.
</li></ul>Security &amp; Multi-Tenancy
<ul><li>Architect secure rack management systems with secure boot, role-based access control, VLAN separation, QoS enforcement , and tenant isolation.
</li><li>Partner with security and compliance teams to ensure designs meet enterprise and sovereign datacenter requirements .
</li><li>Establish guidelines for credential handling, secrets management, and auditability across rack management workflows.
</li></ul>Cross-Functional &amp; External Collaboration
<ul><li>Serve as the technical point of contact with ODMs, ISVs, and component vendors (e.g., Pegatron) for rack software interfaces and protocols.
</li><li>Drive software EBOM strategy , interface specifications, and protocol documentation.
</li><li>Influence roadmaps across hardware, firmware, software, and operations teams through technical leadership rather than direct authority.
</li></ul><div></div>Required Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Electrical Engineering, or a related field.
</li><li>10+ years of experience in infrastructure or systems software development, with architect-level ownership in at least part of that career.
</li><li>Deep proficiency in Python, C++, and system-level scripting .
</li><li>Proven experience designing systems that interact closely with server hardware, networking, and storage .
</li><li>Strong experience with Redfish APIs, DCIM tools , and rack or datacenter management platforms.
</li><li>Demonstrated ability to lead architecture across multiple teams and influence without direct reporting lines.
</li><li>Exceptional debugging skills across hardware/software boundaries in production systems.
</li></ul><div></div>Preferred Qualifications
<ul><li>Experience architecting or operating rack-scale or cluster-scale AI infrastructure .
</li><li>Familiarity with OpenBMC ecosystems and tools (e.g., Gigabyte Pod Manager).
</li><li>Experience designing large-scale telemetry, logging, and observability systems .
</li><li>Exposure to AI workload orchestration platforms (e.g., Kubernetes, Kubeflow).
</li><li>Prior experience working directly with ODMs or silicon/platform vendors .
</li><li>Background in datacenter reliability engineering, capacity planning, or SRE models .
</li></ul><div></div>Role Expectations at This Level
<ul><li>Acts as technical authority for rack management software
</li><li>Drives long-term architectural consistency , not just project delivery
</li><li>Raises the technical bar across the organization through mentorship and design leadership
</li><li>Remains hands-on where it matters , but optimizes for scale and leverage
</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 Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*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.
<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>

Senior Staff / Principal Software Architect – System Level Datacenter AI Platforms - Riyadh, KSA

Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>04/03/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>4-5 years
</div></div><div>Industry
<div>Technology
</div></div><div>City
<div>Riyadh
</div></div><div>State/Province
<div>Ar Riyad
</div></div><div>Country
<div>Saudi Arabia
</div></div><div>Zip/Postal Code
<div>11564
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div><div>Job Overview: 
</div><div>
We are looking for a motivated and innovative Artificial Intelligence Engineer with 3+ years of experience in designing, developing, and deploying AI/ML solutions. The ideal candidate should have hands-on experience in machine learning, data modeling, Python programming, and AI solution development, with the ability to transform business requirements into intelligent systems and predictive models. 
 
</div><div></div> 
Key Responsibilities: 
<ul><li>
Design, develop, and deploy AI and machine learning models for business use cases. 
</li><li>
Build and optimize predictive, classification, and recommendation models. 
</li><li>
Work with large datasets to perform data preprocessing, feature engineering, and model training. 
</li><li>
Develop AI-driven solutions using Python and machine learning frameworks. 
</li><li>
Evaluate model performance and improve accuracy through tuning and validation techniques. 
</li><li>
Collaborate with stakeholders to understand business problems and translate them into AI use cases. 
</li><li>
Integrate AI models into applications, dashboards, or enterprise systems. 
</li><li>
Monitor deployed models and ensure continuous performance improvement. 
</li><li>
Prepare technical documentation and support ongoing enhancements.</li></ul><div></div><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
3+ years of experience in Artificial Intelligence / Machine Learning Engineering 
</li><li>
Strong proficiency in Python 
</li><li>
Hands-on experience with machine learning algorithms and model development 
</li><li>
Experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy 
</li><li>
Good understanding of data structures, statistics, and predictive analytics 
</li><li>
Experience in data cleaning, feature engineering, and model evaluation 
</li><li>
Knowledge of SQL and database management 
</li><li>
Strong problem-solving and analytical skills</li></ul></div></div></div>

Artificial Intelligence Engineer

MASTER-WORKS

<div>Job Description:
The charge of creating and developing intelligent solutions using Artificial Intelligence technologies with a focus on generative AI and data science.
The role entails converting data into useful insights and developing AI powered applications that improve decision making and enhance operational efficiency.
Tools &amp; Technologies: Dataiku, Sql server, Power bi, and aws bedrock
Key Responsibilities:<ul><li>
Design, develop, train, and optimize machine learning models for real applications or use cases.</li><li>
Translate business and product requirements into scalable ML/AI solutions.</li><li>
Implement feature engineering, model selection, tuning, and evaluation techniques.</li></ul><ul><li>
Develop, and deploy ML models into production environments with high availability and performance.</li><li>
Build and maintain ML pipelines (training, validation, deployment, monitoring).</li><li>
Monitor model performance, data drift, and model decay; retrain models as needed.</li><li>
Ensure models meet reliability, scalability, and security standards.</li><li>
Work closely with Data Scientists, Product Managers, and Software Engineers.</li><li>
Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.</li><li>
Participate in design and code reviews, ensuring engineering best practices.</li><li>
Optimize models for latency, throughput, and cost.</li><li>
Implement experimentation frameworks (A/B testing, offline evaluation).</li><li>
Apply responsible AI principles, including fairness, explainability, and governance where required.</li></ul> 
Requirements 
Requirements &amp; Qualifications:<ul><li>
+4 years of hands-on experience in Machine Learning or applied AI roles.</li><li>
Strong programming skills in Python (and/or Java, Scala).</li><li>
Solid understanding of ML algorithms (supervised, unsupervised, deep learning).</li><li>
Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn.</li><li>
Experience deploying models using Docker, Kubernetes, or cloud ML services.</li><li>
Strong knowledge of data structures, algorithms, and software engineering principles.</li><li>
Experience working in agile, cross-functional teams.</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.</li><li>
Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).</li><li>
Experience with big data technologies (Spark, Kafka, Databricks).</li><li>
Background in NLP, Computer Vision, or Generative AI.</li><li>
Strong problem-solving and analytical thinking</li><li>
Production-first mindset</li><li>
Data-driven decision making</li><li>
High Collaboration and communication skills</li></ul></div>

AI Developer

Explore 437+ Ai ml engineer in Riyadh this May. Find roles across top companies and apply now to boost your career.