ML Engineer (Senior Lead Engineer Product Analytics & AI/ML)
Responsibilities
- Build scalable ML models & RAG pipelines
- Work on cloud-native AI solutions (AWS/Azure/GCP)
- Implement MLOps & CI/CD pipelines
- Deploy and monitor production-grade ML systems
- Lead and mentor engineering teams
Requirements
- 5+ yrs in ML Engineering
- Strong Python + ML frameworks
- Experience in model deployment & cloud platforms
- Hands-on with Docker, Kubernetes, MLOps tools
- Valuable communication & leadership skills
Good to Have
- GCP Certifications
- Agile/Scrum experience
- Product-based company exposure