Senior AI Engineer
We're looking for a Senior AI Engineer to join our team in United Arab Emirates in a hybrid working mode. As a Senior AI Engineer, you will play a critical role in developing an agentic platform tailored for the Oil & Gas sector. Your work will directly impact business outcomes by enabling advanced automation, intelligent decision-making, and operational efficiency for our clients in the industry. This is an opportunity to contribute to innovative solutions that drive digital transformation and add measurable value to client operations.
Responsibilities
- Design and develop scalable AI-driven agentic platforms for Oil & Gas applications
- Build, optimize, and maintain robust machine learning pipelines and models
- Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions
- Implement data quality, reliability, and performance improvements across large, complex datasets
- Integrate AI solutions with existing enterprise systems and cloud platforms
- Lead technical discussions and mentor junior engineers within the team
- Contribute to best practices, coding standards, and technical documentation
- Troubleshoot, optimize, and refactor existing AI pipelines for performance and scalability
- Ensure compliance with industry standards and client requirements
- Drive innovation by exploring new AI technologies and methodologies
Requirements
- Bachelor's or Master's Degree in Computer Science, Engineering, Mathematics, or related fields, or relevant work experience
- Strong experience in AI engineering, with recent hands-on coding as a core part of your daily role
- Expertise in building high-performance, distributed machine learning pipelines
- Experience with cloud platforms (Azure, AWS, or GCP)
- Solid understanding of data engineering concepts and relational databases
- Experience with CI/CD, Git, and modern DevOps practices for AI solutions
- Strong problem-solving, communication, and client-facing collaboration skills
- Knowledge of agentic systems and their application in industrial settings
- Familiarity with Oil & Gas industry data and workflows
Nice to have
- Exposure to reinforcement learning or advanced agentic architectures
- Experience with Databricks, PySpark, or similar big data technologies
- Understanding of operational technology (OT) integration in Oil & Gas
- Certification in cloud or AI technologies
- Experience with data science workflows and analytics platforms
