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Python (AI/ML) Developer

Unlock employer Al Khobar, Saudi Arabia Posted: 14 May 2026

Financial

  • Estimate: $50k - $80k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Fluent

Position

The company is a leading global provider of digital platform engineering and software development services, with over 30 years of experience in helping clients navigate digital transformation. We are seeking a Python (AI/ML) Developer to join our team in Al Khobar, Saudi Arabia. This role will involve working on building next-generation autonomous AI agents that are integrated with external tools and platforms.

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You will collaborate with data scientists, ML engineers, and domain experts in an agile environment to design and deploy sophisticated AI models. The position focuses on continuous innovation, ethical AI practices, and operational excellence, leveraging MLOps and DevOps principles for production-readiness.

Responsibilities:

  • Lead the design and implementation of autonomous agents for task automation and external tool integration.
  • Integrate and enhance LLM capabilities for decision-making and natural language understanding.
  • Develop and maintain toolchains involving retrieval-augmented generation, vector databases, and third-party APIs.
  • Ensure operational safety and ethical compliance through guardrails and alignment checks.
  • Optimize model performance and scalability using MLOps and DevOps methodologies.
  • Manage end-to-end deployment on cloud infrastructure using container orchestration platforms.
  • Mentor junior team members and foster innovation through AI research and rapid prototyping.
  • Communicate technical insights and project outcomes clearly to stakeholders.
  • Collaborate with cross-functional teams, including external vendors when necessary.

Requirements:

  • Expertise in designing and deploying autonomous AI systems with integrated safety and compliance measures.
  • 4+ years of experience with Python and deep learning frameworks (PyTorch or TensorFlow).
  • Experience deploying ML models in production using cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
  • Strong knowledge of MLOps practices, including CI/CD, infrastructure as code, and model monitoring.
  • Ability to collaborate effectively with diverse teams including product and engineering specialists.
  • Academic degree in Computer Science, Software Engineering, or a related field.
  • Valid SCE (Saudi Council of Engineers) certificate (with IT related discipline) is required for this position.
  • Fluent English communication skills (B2 level or higher).

Nice to Have:

  • Experience building or integrating custom AI agents and workflows using LLM APIs (OpenAI, Azure OpenAI).
  • Exposure to AIOps platforms and AI-driven observability tooling.

Benefits:

  • General Organization for Social Insurance (GOSI)
  • Private healthcare and life insurance
  • End of service gratuity
  • Annual air travel allowance for expatriates
  • Corporate Programs including Employee Referral Program with rewards
  • Learning and development opportunities, including in-house training and coaching, professional certifications, and courses

Nature of Work and Working Hours:
The usual working hours for full-time roles at the company in Saudi Arabia are from 9:00 AM to 6:00 PM, including a one-hour unpaid lunch break. Working hours may vary based on client requirements, and flexibility is accommodated whenever possible.

How to Apply:
If you meet the requirements and are eager to join the company, please submit your application, along with your up-to-date CV and other optional materials. After applying, you will have a conversation with our Talent Acquisition team, followed by a technical interview and an interview with the hiring manager. A client interview may also be included in some cases. If successful, you'll receive an offer and, upon acceptance, officially become part of our team. We look forward to welcoming you aboard!

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