Senior Machine Learning Engineer
Summary
Build and maintain an internal AI/ML platform at their Lisbon IT Campus — covering GenAI guardrails and evaluations, LLM routing and agent lifecycle, Kubernetes deployment, MLOps tooling (CI/CD, experiment tracking, model registry, monitoring), and supporting internal teams.
- Build platform components for data and AI use cases
- Create guardrails and evaluations for GenAI
- Deploy and maintain AI solutions in Kubernetes
- Develop LLM access routing and agent lifecycle components
- Implement CI CD for ML and GenAI workloads
- Implement experiment tracking model registry and deployment pipelines
- Own ML and GenAI lifecycle tooling
- Set up monitoring for ML workloads
- Support internal teams with documentation examples and guidance
Perks/Benefits:
- 25 annual days of vacations
- Coffee and fruit
- Flexible working hours
- Gym allowance
- Health insurance
- Health insurance for family
- Hybrid work
- IPhone
- Life insurance
- One day per week office
- Public transportation allowance
- Second screen
- Stand-up desks
- Tech allowance
- Training allowance
- Travel willingness