artificial intelligence engineer

Raqmiyat

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

Artificial Intelligence Engineer

MASTER-WORKS

<div><p>We are seeking a <b>talented and motivated AI Engineer</b> with expertise in <b>Large Language Models (LLMs)</b>, <b>Natural Language Processing (NLP)</b>, and <b>Speech-to-Text</b> technologies.<br>
As part of our dynamic team, you will design, develop, and deploy next-generation AI solutions that enhance our products and services through intelligent automation, language understanding, and seamless communication systems.</p><p></p><p><b>
Key Responsibilities</b></p><p><b>
LLM Development &amp; Integration</b></p><ul><li>
Fine-tune and deploy <b>Large Language Models</b> for chatbots, content generation, and virtual assistants.</li><li>
Evaluate and optimize model performance in real-world use cases.</li><li>
Integrate LLMs into production environments ensuring scalability and reliability.</li></ul><p><b>
NLP System Design</b></p><ul><li>
Design and implement <b>NLP algorithms</b> for text classification, sentiment analysis, entity recognition, and summarization.</li><li>
Handle large text datasets for model training and validation.</li><li>
Collaborate with cross-functional teams to address language-related challenges.</li></ul><p><b>
Speech-to-Text Implementation</b></p><ul><li>
Develop and optimize <b>speech-to-text (ASR)</b> pipelines for multiple languages and dialects.</li><li>
Integrate speech recognition systems with NLP and LLM modules for end-to-end conversational experiences.</li><li>
Stay updated with advancements in <b>Automatic Speech Recognition (ASR)</b> technologies.</li></ul><p><b>
Performance Optimization</b></p><ul><li>
Improve AI model efficiency for real-time performance and scalability.</li><li>
Identify and mitigate biases to ensure model accuracy, fairness, and robustness.</li></ul><p><b>
Research &amp; Innovation</b></p><ul><li>
Stay current with cutting-edge research in <b>LLMs, NLP, and Speech AI</b>.</li><li>
Experiment with new architectures and techniques to drive innovation.</li></ul><p><b>
Documentation &amp; Collaboration</b></p><ul><li>
Maintain detailed documentation of models, datasets, and workflows.</li><li>
Collaborate with <b>product managers, software engineers,</b> and other stakeholders to deliver production-grade AI solutions.</li></ul><p></p><b><br>
Requirements</b><p><b><br>
Qualifications</b></p><ul><li><b>
Bachelor&rsquo;s or Master&rsquo;s degree</b> in Computer Science, Artificial Intelligence, Data Science, or related fields.</li><li>
Proven experience in <b>LLM development</b> (e.g., OpenAI GPT, Claude, or similar frameworks).</li><li>
Strong knowledge of <b>NLP libraries</b> (e.g., Hugging Face, spaCy, NLTK).</li><li>
Hands-on experience with <b>speech-to-text tools</b> (e.g., Whisper, Google Speech API, DeepSpeech).</li><li>
Proficiency in <b>Python</b> and frameworks like <b>TensorFlow</b> or <b>PyTorch</b>.</li><li>
Excellent analytical, problem-solving, and communication skills.</li></ul></div>

AI Engineer (Mid-Level)

<div><p><b>Job Description:</b></p><p>
The charge of creating and developing intelligent solutions using Artificial Intelligence technologies with a focus on generative AI and data science.
</p><p></p><p>The role entails converting data into useful insights and developing AI powered applications that improve decision making and enhance operational efficiency.</p><p></p><p><b>
Tools &amp; Technologies: </b>Dataiku, Sql server, Power bi, and aws bedrock</p><p></p><p><b>
Key Responsibilities:</b></p><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><p></p><b><br>
Requirements</b><p><b><br>
Requirements &amp; Qualifications</b>:</p><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

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  </li>
  <li>
   Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  </li>
  <li>
   Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  </li>
  <li>
   Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  </li>
  <li>
   Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  </li>
  <li>
   Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  </li>
  <li>
   Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  </li>
  <li>
   Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  </li>
  <li>
   Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  </li>
  <li>
   Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  </li>
  <li>
   Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  </li>
  <li>
   Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  </li>
  <li>
   Exceptional written and verbal communication skills for effective collaboration and documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  </li>
  <li>
   Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  </li>
  <li>
   Prior exposure to government or highly regulated cloud environments and compliance standards.
  </li>
 </ul>
</div>


AI/ML Engineer - Remote

<div><div><b>We help the world run better</b><br>
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><div></div><p><b><br>
What you&rsquo;ll build</b></p><p></p><p><br>
In this role, you'll build and operationalize machine learning and AI capabilities that from idea to production and deliver measurable product value. You'll develop data move pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks for use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.
</p><p>Your work will include feature engineering, experiment design, model tuning, offline and online validation, and integration of models into scalable product architectures. You'll help improve LLM-based workflows, including prompt design, retrieval-augmented generation, vector search, guardrails, and response quality evaluation. You&rsquo;ll also strengthen the engineering backbone around AI through CI/CD, monitoring, observability, testing, and model lifecycle automation so solutions are reliable, cost-aware, secure, and ready for enterprise scale.</p><p></p><p><b><br>
What you bring:</b></p><br>
<p></p><ul><li>
You bring strong programming skills in Python, along with working knowledge of Java or Go, for building production-grade services and APIs
</li><li>You have a solid understanding of machine learning fundamentals, including supervised and unsupervised methods such as classification, regression, clustering, ranking, and recommendation systems
</li><li>You have hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for model training, fine-tuning, and inference
</li><li>You demonstrate strong capabilities in data preparation, feature engineering, data validation, and model evaluation using appropriate offline and online metrics
</li><li>You have experience building, deploying, and integrating ML models into production systems through batch, real-time, or streaming pipelines
</li><li>You are familiar with generative AI concepts, including LLMs, embeddings, vector databases, prompt engineering, and retrieval-augmented generation, and how to apply them in practical use cases
</li><li>You bring working knowledge of MLOps and modern data infrastructure, including experiment tracking, model versioning, CI/CD, and tools such as Spark, Kafka, Airflow, and feature stores
</li><li>You have experience operating ML systems in production, including monitoring for drift, latency, accuracy, cost, bias, and performing debugging and failure analysis to ensure reliability and business impact</li></ul><p></p><p><b><br>
About You</b></p><br>
<p></p><ul><li>
You have 1-3+ years of experience in machine learning engineering, software engineering, or a related field, with a track record of deploying models into production
</li><li>You are passionate about building reliable, scalable ML systems and take ownership of delivering end-to-end solutions
</li><li>You balance experimentation with engineering rigor, making thoughtful trade-offs to ensure models are both innovative and production-ready
</li><li>You are a collaborative problem-solver who thrives in ambiguous environments and is motivated by delivering measurable business impact</li></ul><p></p><p><b><br>
Where you belong:</b></p><p></p><div><br>
You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. 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.</div><div>
This team thrives on working together 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 ambiguity in a fast‑evolving AI landscape.</div><p></p><p><b><br>
About the team</b></p><p>
We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and collaborating closely to deliver AI systems that are reliable, high-performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.</p><p></p><div><b><br>
Bring out your best</b><br>
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.
<br>
<br>
<b>We win with inclusion</b><br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div><b><br>
AI Usage in the Recruitment Process</b></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><p>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
<br>
Requisition ID: 450210 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</p></div>

Machine Learning Engineer

DeepSource Technologies

<div><p>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.</p><p></p><p>
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.</p><p></p><p>
Key Responsibilities</p><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.<br>
</li></ul><br>
<br>
<p></p><b>Requirements</b><ul><li><br>
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><p></p>

Senior Ai Engineer - Riyadh,KSA

Müller's Solutions

<div>
 M&uuml;ller's Solutions is looking for a passionate and knowledgeable AI Specialist to join our team. In this role, you will be responsible for researching, developing, and implementing AI solutions that address specific business challenges. You will work closely with other departments and stakeholders to identify areas where AI can enhance operations and improve decision-making processes.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with clients to comprehend their business challenges and discover opportunities for AI-enhanced solutions
  </li>
  <li>
   Convert client requirements into technical problem statements and implementable project strategies
  </li>
  <li>
   Clearly articulate intricate AI and data insights in a manner that is understandable to non-technical stakeholders
  </li>
  <li>
   Transform analytical results into valuable business insights and strategic recommendations
  </li>
  <li>
   Create engaging visualizations, reports, and presentations to aid client decision-making
  </li>
  <li>
   Keep abreast of new AI technologies (such as GenAI, large language models, and computer vision) and evaluate their relevance to business needs
  </li>
  <li>
   Engage in workshops, training sessions, and client demonstrations to showcase AI capabilities
  </li>
  <li>
   Capable of designing AI use cases that align with the business needs of clients
  </li>
  <li>
   Collaborate with clients to tackle complex business challenges and create AI-driven solutions that yield measurable returns on investment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or related disciplines
  </li>
  <li>
   Proficient in analyzing data and recognizing patterns
  </li>
  <li>
   Experience in predictive modeling and analytics driven by artificial intelligence
  </li>
  <li>
   Strong critical thinking skills with a hypothesis-based methodology
  </li>
  <li>
   Effective communication skills and ability to foster relationships
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Why Join Us:
 <br/>
 <br/>
 <ul>
  <li>
   Competitive salary + performance-based incentives.
  </li>
  <li>
   Be part of a fast-growing AI consulting leader in the MENA region.
  </li>
  <li>
   Work on high-impact projects with governments and top enterprises.
  </li>
  <li>
   Career growth opportunities in AI and digital transformation leadership.
  </li>
  <li>
   Collaborative, innovative, and entrepreneurial culture
  </li>
 </ul>
</div>


AI Specialist

Explore 365+ Artificial intelligence engineer in Riyadh this April. Find roles across top companies and apply now to boost your career.