Senior/Lead AI Engineer – relocation to Saudi Arabia, Riyadh @ PROEXE

Senior/Lead AI Engineer – relocation to Saudi Arabia, Riyadh @ PROEXE

Riyadh, Warszawa, Kraków, Wrocław, Poznań, Katowice, Gdańsk, Szczecin

Must have qualifications:

• Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Science, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence
• Minimum 5 years of experience in designing, developing, and optimizing machine learning systems, including model deployment, evaluation, data processing, debugging, and fine-tuning.
• At least 2 years of experience with cutting-edge Generative AI technologies (e.g., LLMs, Multi-Modal Models, Large Vision Models) or related domains such as language modeling and computer vision.
• Proven experience in testing, deploying, and launching software products, with a solid foundation in software design and architecture.
• Willingness to relocate to Riyadh (Saudi Arabia)
• Fluent in English

Preferred qualifications:

• Hands-on experience with Agentic AI systems and ML domains such as Reinforcement Learning, Image Analysis, or Advanced Statistics.
• Strong understanding of the software development lifecycle (SDLC) and best engineering practices.
• Demonstrated ability to define and track meaningful metrics for assessing ML system performance, scalability, and reliability.
• Deep understanding of machine learning principles, coupled with a passion for mentoring and developing junior team members.

✔ Relocation to Riyadh needed
✔ Up to 90,000 PLN net on B2B (25,000 USD) monthly
✔ Comprehensive relocation and housing support provided
✔ Annual education allowance of up to 20,000 USD for school tuition

Join a landmark national AI initiative designed to shape the future of intelligent systems at scale. Based in Riyadh, Saudi Arabia, this role offers an exceptional opportunity for senior AI architects and machine learning leaders to drive innovation across Generative and Agentic AI, Large Language Models (LLMs), Reinforcement Learning, and Multi-Modal architectures.

In this role, you will help transform advanced AI research into real-world impact by creating systems that can learn, reason, and act independently in complex situations. You will work closely with a world-class engineering team to design and deliver scalable AI platforms, shape their long-term strategy, and ensure that every stage from concept to deployment meets the highest technical standards.

What we offer:

• Up to 25,000 USD monthly compensation (based on experience and qualifications)
• Comprehensive relocation and housing support provided
• Annual education allowance of up to USD 20,000 for school tuition
• Unique opportunity to lead AI innovation within a strategic, high-impact project in Saudi Arabia.

,[Design, develop, deploy, and maintain scalable machine learning systems supporting a large-scale government AI initiative, Build and optimize advanced AI systems, including Generative and Agentic AI, Reinforcement Learning, Language Models (LLMs), and Multi-Modal architectures, Conduct applied research, experimentation, and end-to-end product delivery in AI-driven solutions, Develop and enhance analytical platforms with a strong emphasis on generative and agentic AI capabilities, Continuously improve AI-powered agents to enhance their understanding, reasoning, and execution across diverse environments and interfaces, Define, implement, and monitor Key Performance Indicators (KPIs) and metrics to rigorously evaluate the performance, quality, and reliability of machine learning systems, Collaborate closely with cross-functional engineering teams in a fast-paced, innovation-driven environment, Provide technical leadership and mentor junior engineers in machine learning methodologies, fostering their professional growth and technical excellence] Requirements: Degree, ML, AI,  Generative AI, LLMs, Multi-Modal Models, Large Vision Models, Computer vision, Agentic AI , Reinforcement Learning, Image Analysis, Advanced Statistics, SDLC Additionally: Sport Subscription, Knowledge sharing, Integration events, Flat structure, Small teams, International projects, Canteen, Gym, Free coffee, Bike parking, Shower, Modern office, No dress code, Startup atmosphere, Free snacks.

Kategorie

artificialIntelligence

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