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Job Description
Structured overview of role & requirementsAbout This Role
Drive deployment, automation, maintenance, and monitoring of machine learning models in a production environment.
Collaborate across teams to design, develop, and optimize advanced machine learning products and production pipelines.
Plan, manage, and deliver complex projects involving multiple stakeholders, while leading teams in an Agile setting.
Minimum Requirements
10 years of machine learning experience on large datasets.
Academic background in STEM (e.g., Mathematics, Physics, Engineering, or Computer Science).
Experience building, testing, supporting, and deploying ML models using modern CI/CD tools (e.g., TeamCity, CodeDeploy).
Proficient in Python and ML frameworks (Tensorflow, PyTorch); experience with cloud platforms (AWS, Google Cloud, or Azure).
Ideal Candidate Profile
Experienced in leadership and coaching within multi-disciplinary data and analytics teams.
Strong technical expertise in CI/CD pipelines, containerization (Docker), version control (Git), and MLOps/LLMOps.
Able to understand complex business requirements and translate them into ML solutions aligned with strategy.