Engineering Manager, Data Platform & ML Ops
Tasks
- Coach engineer growth and continuous learning
- Collaborate on architecture decisions
- Conduct experimentation and training pipelines
- Define and evolve platform standards tooling best practices
- Deploy and manage production models
- Lead and mentor engineering team
- Monitor models in production
- Oversee end to end ML Ops lifecycle
- Own data warehouse reliability scalability evolution
- Partner with data scientists and product managers
- Review complex technical proposals
- Translate data and ML investments into product outcomes
Perks/Benefits
Skills/Tech-stack
Agile | Architecture Review | Business Intelligence | Cloud infrastructure | Data Engineering | Data Warehouse | Data analytics | Experimentation | Learning operations | Machine Learning | Machine Learning Operations | Model Deployment | Production Monitoring | Reliability | Scalability | Technical leadership | Training Pipeline
Education
N/A
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