Machine Learning Operations Expert

3 weeks ago


Abu Dhabi, Abu Dhabi, United Arab Emirates Bayanat Full time
About the Role

We are seeking a highly skilled MLOps Engineer to join our team at Bayanat. As a key member of our AI operations team, you will be responsible for the end-to-end automation and optimization of the machine learning lifecycle, from data ingestion to model deployment and monitoring.

Key Responsibilities
  • Implement and manage CI/CD pipelines for machine learning models, ensuring rapid deployment and robust testing of AI features.
  • Develop and maintain infrastructure for scalable machine learning, including data pipelines, model training environments, and deployment platforms.
  • Enhance the performance and efficiency of machine learning models through continuous monitoring, testing, and optimization techniques.
  • Write clean, efficient, and maintainable code that supports the seamless integration of AI technologies into our platform.
  • Collaborate closely with machine learning engineers and other team members, contributing to a cohesive team dynamic while keeping a sharp focus on the strategic objectives of our AI solutions.
  • Lead initiatives to ensure that our machine learning operations are efficient, scalable, and aligned with the evolving needs of real-world applications.
  • Stay at the forefront of MLOps practices, embracing and integrating the latest advancements to drive innovation and operational excellence in our AI platform.
Technical Requirements
  • Proficient in rapid prototyping and integration of machine learning features throughout the development lifecycle.
  • Advanced proficiency in Python for software development, with a focus on automation and scalability in machine learning operations.
  • Practical experience with major AI frameworks, such as TensorFlow or PyTorch, tailored towards operationalizing machine learning models.
  • Proficiency with essential machine learning libraries and tools, including but not limited to Scikit-learn, OpenCV, and libraries for managing data and model pipelines.
  • Demonstrated experience with cloud computing services (e.g., AWS, GCP, Azure) for deploying and scaling AI solutions, including familiarity with cloud-native technologies for MLOps.
Education and Experience
  • Satisfy one of the following:
  • Ph.D. degree with concentration in CV (or EO) and ML with 1+ years' experience of software development
  • Master's degree with 3+ years' experience of developing CV (or EO) and ML solutions


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