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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
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Evaluate and implement new MLOps tools and technologies
- +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
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Ability to work effectively in a complex and dynamic environment
- Experience with feature stores and model registries
- Knowledge of data governance and compliance requirements
- Experience with different data platforms (Cloudera, Teradata, etc..)
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