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..).