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NXS Tech Ltd

<div>
 
 Our client who specialises in Voice AI platforms is looking for an AI Engineer to join their team in Riyadh.
 
 
 
 
 
 What You&rsquo;ll Do
 
 <ul>
 <li>
 Maintain and evolve complex open-source AI frameworks (e.g., LiveKit Agents, Pipecat, Agno, LangChain), including handling custom modifications across fast-moving releases.
 </li>
 <li>
 Design, write, and ship high-quality Python code that meets a high engineering bar.
 </li>
 </ul>
 
 
 
 
 What You Bring
 
 <ul>
 <li>
 Strong proficiency in Python and experience working in large, complex codebases.
 </li>
 <li>
 Familiarity with open-source frameworks&mdash;either contributing to them or maintaining internal forks/customizations.
 </li>
 <li>
 Arabic language ability (essential)
 </li>
 <li>
 Experience with AI/LLM frameworks (LiveKit Agents, Agno, LangChain, RAG pipelines, etc.).
 </li>
 </ul>
 
 
</div>

AI Engineer

Master Works

<div>
 This is a highly skilled Machine Learning Engineer to design, build, deploy, and scale machine learning models that power data-driven products and intelligent systems. This role sits at the intersection of data science, software engineering, and MLOps, and requires strong hands-on experience turning models into production-ready solutions, programming experience in Python or R.
 
 
 
 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>
 <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
 
 
 
 <ul>
 <li>
 3-7+ 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>

ML Engineer

MASTER-WORKS

<div>This is a highly skilled Machine Learning Engineer to design, build, deploy, and scale machine learning models that power data-driven products and intelligent systems. This role sits at the intersection of data science, software engineering, and MLOps, and requires strong hands-on experience turning models into production-ready solutions, programming experience in Python or R.
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><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 
<ul><li>
3&ndash;7+ 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>

The Management Recruitment Group (MRG)

<div>
 
 A leading real estate development platform in Saudi Arabia is seeking to appoint an AI Engineer to build and lead its internal AI capability, supporting smarter decision-making and automation across commercial, retail, residential, and property management portfolios.
 
 
 
 
 
 
 The Company
 
 
 
 Our client is a forward-thinking real estate platform operating across multiple asset classes in the Kingdom. As the business scales, it is investing in building robust internal AI infrastructure to enhance operational efficiency, improve analytical workflows, and prepare for AI-driven transformation across departments.
 
 
 
 
 
 
 The Role
 
 
 
 Reporting to the CEO / Head of IT, the AI Engineer will be responsible for designing and implementing the company&rsquo;s core AI and data infrastructure.
 
 
 
 
 
 This is a hands-on, individual contributor role focused on shipping production-ready solutions and not research or experimentation. Working closely with a Head of IT and Business/AI Analyst, you will translate business use cases into practical AI systems that integrate internal data with frontier large language models.
 
 
 
 
 
 You will build modular, secure, and scalable systems that enable non-technical teams to leverage AI-powered insights in their daily operations.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and build central data infrastructure (e.g., ClickHouse, data lake, or equivalent) aggregating data from property management, leasing, finance, and operations systems.
 </li>
 <li>
 Integrate frontier LLMs (Claude, GPT-4, or equivalent) via API as the reasoning and analysis layer on top of internal datasets.
 </li>
 <li>
 Develop and maintain retrieval pipelines (RAG architecture) to intelligently select and manage context for LLM interactions.
 </li>
 <li>
 Build internal tools, dashboards, and interfaces enabling business users to interact with AI-driven analysis.
 </li>
 <li>
 Implement data security, access controls, and compliance protocols to safeguard sensitive real estate and tenant information.
 </li>
 <li>
 Architect modular systems where LLM providers, databases, and tools can be swapped as technology evolves.
 </li>
 <li>
 Monitor AI output quality and implement validation and feedback loops to mitigate hallucinations and inaccuracies.
 </li>
 <li>
 Document system architecture, processes, and dependencies thoroughly to minimise operational risk.
 </li>
 <li>
 Stay current with AI developments and proactively recommend relevant innovations to enhance operations.
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile
 
 
 
 The successful candidate will have 3&ndash;5 years of software engineering experience and demonstrate:
 
 <ul>
 <li>
 Strong proficiency in Python.
 </li>
 <li>
 Hands-on experience integrating LLM APIs (Anthropic, OpenAI, or similar).
 </li>
 <li>
 Practical data engineering expertise, including ETL pipelines and SQL.
 </li>
 <li>
 Experience with analytical databases such as ClickHouse, PostgreSQL, BigQuery, Snowflake, or equivalent.
 </li>
 <li>
 Understanding of retrieval-augmented generation (RAG), vector databases, and context management strategies.
 </li>
 <li>
 Familiarity with orchestration frameworks (LangChain, LlamaIndex, or similar).
 </li>
 <li>
 Experience deploying and maintaining production services (Docker, cloud infrastructure, CI/CD basics).
 </li>
 <li>
 Strong communication skills with the ability to clearly explain technical constraints to non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Salary &amp; Benefits
 
 
 
 Competitive salary commensurate with experience, plus additional benefits as applicable.
 
 
 
 
 
 
 Location &amp; Working Pattern
 
 
 
 Based in Riyadh, Saudi Arabia with office based working.
 
 
 
 
 
 
 How to Apply
 
 
 
 For a confidential discussion, please contact Megan Jeffery at MRG on megan.jeffery@mrgglobal.com. Applications should consist of a CV (and covering letter if required).
 
</div>

Devsinc

<div>
 
 Devsinc
 
 is looking for a knowledgeable and enthusiastic
 
 Kafka Engineer
 
 to join our growing team in
 
 KSA
 
 . In this role, you will be responsible for designing, implementing, and managing Kafka-based data pipelines and stream processing systems. You will work with cross-functional teams to integrate Kafka with different systems and ensure data flow reliability and efficiency.
 
 
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 Kafka Operations: Confluent Kafka ; cluster setup and maintenance.
 
 
 Cluster Management: High availability, cross-site replication,ZooKeeper.
 
 
 Schema Registry &amp; Topic Governance: Confluent Schema Registry or equivalent.
 
 
 Monitoring: Prometheus JMX Exporter, Dynatrace Kafka plugins, Elastic. Security: TLS, SASL, ACLs, RBAC.
 
 
 Integration &amp; APIs: Kafka REST API, connectors.
 
 
 
 Key Responsibilities:
 
 
 
 Event-driven architecture and distributed system principles.
 
 
 Performance tuning and throughput optimization.
 
 
 Disaster recovery strategies for Kafka clusters.
 
 
 Governance, schema evolution, and topic lifecycle management.
 
 
 Operate and scale Kafka clusters reliably.
 
 
 Ensure HA and cross-site replication.
 
 
 Implement governance, topic management, and secure access.
 
 
 Integrate and monitor Kafka metrics/logs into observability dashboards.
 
 
 Ensure proper ACLs and RBAC policies for producers/consumers
 
 
 Respond to Kafka-related incidents and outages
 
 
 
 Experience:
 
 Minimum 4-6 years of experience required.
</div>

Kafka Engineer

TAWANTECH

<div>Job Summary: 
 
We are looking for a Machine Learning Engineer with 4+ years of experience in building, deploying, and optimizing ML models in software environments. The ideal candidate has strong Python skills and hands-on experience delivering production-ready ML solutions.
Key Responsibilities:<ul><li>
Develop, train, and deploy machine learning models.
</li><li>Build scalable data pipelines and integrate ML into applications.
</li><li>Perform data preprocessing, feature engineering, and model evaluation.
</li><li>Monitor model performance and implement improvements.
</li><li>Collaborate with engineering and product teams in agile environments.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, or related field.
</li><li>4+ years of ML experience in software/product companies.
</li><li>Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn.
</li><li>Experience deploying models in production (cloud preferred: AWS/Azure/GCP).
</li><li>Good understanding of statistics, algorithms, and MLOps practices.</li></ul></div>

Machine Learner Engineer

<div>
 
 Job Summary:
 
 
 
 We are looking for a Machine Learning Engineer with 4+ years of experience in building, deploying, and optimizing ML models in software environments. The ideal candidate has strong Python skills and hands-on experience delivering production-ready ML solutions.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop, train, and deploy machine learning models.
 </li>
 <li>
 Build scalable data pipelines and integrate ML into applications.
 </li>
 <li>
 Perform data preprocessing, feature engineering, and model evaluation.
 </li>
 <li>
 Monitor model performance and implement improvements.
 </li>
 <li>
 Collaborate with engineering and product teams in agile environments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in Computer Science, AI, or related field.
 </li>
 <li>
 4+ years of ML experience in software/product companies.
 </li>
 <li>
 Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Experience deploying models in production (cloud preferred: AWS/Azure/GCP).
 </li>
 <li>
 Good understanding of statistics, algorithms, and MLOps practices
 </li>
 </ul>
</div>

Explore 251+ Python engineer in Riyadh this March. Find roles across top companies and apply now to boost your career.

251 python engineer jobs In Riyadh

AI Engineer

ML Engineer

ML Engineer

AI Engineer

Kafka Engineer

Machine Learner Engineer

Machine Learner Engineer