Lead MLOPs Engineer

Responsibilities:

· Define and implement the technical MLOps strategy and roadmap for the position

· Serve as a technical leader and mentor for MLOps engineers.

· Design, build, and maintain scalable and reliable machine learning & CI/CD pipelines.

· Ensure the efficient deployment, monitoring & Governance of AI models in production.

· Collaborate with data scientists and engineers to optimize model performance and deployment.

· Establish and enforce best practices for MLOps, including version control, model governance, and monitoring.

· Evaluate and implement new MLOps tools and technologies.

Required Skills:

• +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 (e.g., Docker, Kubernetes).

· 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.

· Ability to work effectively in a complex and dynamic environment.

Desirable Skills:

· Experience with feature stores and model registries.

· Knowledge of data governance and compliance requirements.

• Experience with different data platforms (Cloudera, Teradata, etc..).