As an MLOps Engineer at NS, you work on developing reusable building blocks for AI product development. You are part of a new, centrally-positioned enabling team within the NS AI Center of Excellence and work closely with Data Scientists, Tech Leads, Platform Engineers, and Solution Architects.
Your responsibilities:
- Develop and maintain robust and scalable MLOps tools and code templates to standardize versioning, testing, automation, experimentation, and deployment of code, data, and models
- Build best practices and compliance by default into tools and code templates
- Collaborate with Tech Leads and Solution Architects to align tools and code templates with product team workflows
- Publish tools and code templates as self-service components (paved paths) on the internal developer portal
- Help teams with adoption through training and support
- Gather feedback from teams, act on it, and measure adoption
You are invaluable because you have:
- Theoretical and hands-on MLOps knowledge with a focus on implementation and automation
- Knowledge of Platform Engineering / Developer Experience Engineering
- Ability to collaborate effectively and turn challenges into shared standards
- Results-driven pursuit of measurable impact
- Courage and openness to change