Lead MLOPs Engineer to define and implement the technical MLOps strategy and roadmap, serve as a technical leader and mentor, design, build, and maintain scalable and reliable machine learning & CI/CD pipelines, and ensure efficient deployment, monitoring & Governance of AI models in production.
Requirements
- 8+ years of relevant experience in Data Science or a related field, 2 years of them in the MLOPs field
- Extensive experience in designing and implementing MLOps strategies and pipelines
- Deep expertise in on-prem platforms and containerization technologies
- Strong proficiency in programming languages like Python and scripting languages
- Experience with CI/CD & MLOps tools as well as different ML frameworks
- Strong understanding of data engineering and software development principles
- Excellent communication and technical documentation skills