Engineering Manager, Data Platform & ML Ops

Tasks

• Collaborate with data scientists and product managers
• Drive continuous improvement of data infrastructure
• Ensure reliability and scalability of internal data infrastructure
• Establish engineering standards and best practices
• Lead development of data platforms
• Manage experimentation and training pipelines
• Mentor engineers across data platforms and MLOps
• Monitor production models
• Oversee machine learning lifecycle
• Participate in architecture discussions
• Provide coaching feedback and career growth support
• Review solutions and guide engineering decisions
• Support model deployment

Perks/Benefits

• Continuous learning
• Flexible location
• Inclusive workplace culture
• Professional growth opportunities
• Remote-friendly
• Technical challenges

Skills/Tech-stack

AWS | Architecture Review | BigQuery | ClickHouse | Cloud Computing | Continuous Improvement | Data Engineering | Data Infrastructure | Databricks | Experimentation | MLOps | Machine Learning | Model Deployment | Production Monitoring | Reliability | SaaS | Scalability | Snowflake | Training pipelines