Key skills
CloudDockerKubernetesPythonAIMLK8s
About this role
Role Overview
- Design and implement end-to-end ML pipelines (data→model→deployment→monitoring) autonomously
- Contribute to APIs, tools, and libraries used by more than 100 AI team members daily
- Communicate with your team: present results and findings, identify gaps and opportunities
Requirements
- 7+ years of experience
- Solid AI/ML fundamentals
- Strong Python
- APIs/K8s/Docker/Cloud experience
- Lead a team of 4+ AI/ML Engineers
- Deep AI/ML knowledge
- Outstanding problem-solving skills
- Ability and willingness to lead and mentor Junior team members
Tech Stack
- Cloud
- Docker
- Kubernetes
- Python
Benefits
- Flexible work arrangements
- Professional development opportunities