Machine Learning Ops Engineer II
Tasks
- Build scalable infrastructure for AI deployments
- Communicate results to technical and non-technical stakeholders
- Conduct code reviews and quality checks
- Coordinate cross team project efforts
- Define and refine data requirements for AI applications
- Develop data models for AI queries and analysis
- Develop project plans and track progress
- Ensure data quality and compliance
- Lead development of machine learning models
- Maintain documentation for reproducibility
- Manage AI and Data Science projects
- Optimize data flows for AI workflows
- Provide mentorship to engineers
- Scale machine learning and AI projects
- Translate model requirements into operational systems
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CNN | Cloud Computing | Code review | Continuous Learning | DBT | Data Modeling | Documentation | ETL | GCP | Image Segmentation | MLOps | Machine Learning | Neural Networks | NnU-Net | Python | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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