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Machine Learning Operations Engineer
2 months ago
At Bayanat, we are seeking a highly skilled Machine Learning Operations Engineer to join our team. As a key member of our AI infrastructure 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.
- 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
