Description:

Technical lead for MLOps infrastructure, responsible for design and implementation of production-grade ML pipelines and model lifecycle management.
Drive architectural decisions, set technical standards, and ensure compliance with operational and regulatory requirements.

Requirements:

Experience in architecting and implementing end-to-end MLOps pipelines, including CI/CD for model training and deployment.
Proficiency in infrastructure-as-code using Terraform and building automated training jobs on Amazon SageMaker.
Knowledge of model performance monitoring, CI/CD for ML artifacts, and compliance with 21 CFR Part 11.
Strong leadership skills for mentoring and technical decision-making, with experience in coordinating with IT security and quality teams.

Investment in personal growth and development, fostering a culture of learning and innovation.
Empowering management style that supports team members and removes obstacles.
Opportunity to shape technical roadmap and work on impactful projects in a flat organizational structure.

Skills