Position

Location: Abu Dhabi Emirate, United Arab Emirates
Job Type: Full-time, On-site
Experience Level: Mid-Senior level
Industry: IT Services and IT Consulting
Skills: System Performance, Prototyping, and more
Company Overview: Bayanat provides AI-powered geospatial solutions to sectors such as Defense, Environment, Energy & Resources, Smart Cities, and Transportation.
Role Summary: The role involves research and development of solutions using machine learning in Computer Vision and Earth Observation. The focus is on streamlining and automating the machine learning lifecycle to enhance efficiency and reliability of the AI platform.
Key Responsibilities:
- Automation and optimization of the machine learning lifecycle
- Implementing and managing CI/CD pipelines for machine learning models
- Developing and maintaining infrastructure for scalable machine learning
- Enhancing performance and efficiency of machine learning models
- Collaborating with team members and contributing to strategic objectives
- Leading initiatives to ensure efficient and scalable machine learning operations
Qualifications:
- BSc in a STEM related discipline minimum
- Proficiency in Python for software development
- Experience with major AI frameworks like TensorFlow or PyTorch
- Experience with cloud computing services
- Ph.D. or Master's degree with relevant experience

If you are a highly motivated and experienced MLOps Engineer looking for a challenging opportunity in a fast-paced and innovative environment, please submit your resume and cover letter for consideration.

Apply now