Lead the design, implementation, and support of MLOps/Data Lake practices and tools to support Machine Learning and Artificial Intelligence R&D and operations
Job Summary
Lead the design, implementation, and support of MLOps/Data Lake practices and tools to support Machine Learning and Artificial Intelligence R&D and operations.
Define and drive the MLOps/Data Lake architecture, strategy, and development plan, designing scalable, secure, reliable, and high-performance solutions.
Evaluate and recommend technologies and tools to create a unified ecosystem that streamlines the AI/ML development lifecycle while optimizing performance and costs.
Matching Summary
Lead the design, implementation, and support of MLOps/Data Lake practices and tools to support Machine Learning and Artificial Intelligence R&D and operations.
Salary
Base: €62,500.00 - €116,100.00; Bonus/Equity: discretionary annual bonus; Benefits: medical, dental, vision, prescription drug coverage, Health Coach, Employee Assistance Program, retirement savings plan, tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, permissive time off
Skills & Requirements
Must-have
MLOps and Data Lake strategy
design scalable Data Lake/MLOps solutions
data governance and quality
CI/CD pipelines and automation
containerization and orchestration
distributed data processing
Nice-to-have
collaboration between corporate IT and business
proactive problem solving
technical leadership and mentorship
Key Requirements
Bac+3/5 in Computer Science or related field
Experience with data workflow orchestration frameworks
Experience with cloud platforms (AWS, Azure, GCP)
Experience with Big Data technologies
Experience with CI/CD, Git, Docker, Kubernetes
Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)