Sr. AI/ML Engineer I (6475)
Tasks
- Analyze data and experimental results to recommend improvements
- Build experimentation environments for model iteration
- Build maintain data pipelines and training workflows
- Collaborate with software data engineering DevSecOps teams
- Communicate technical approaches tradeoffs and results
- Deploy machine learning models to production systems
- Design develop implement fine tune machine learning models
- Ensure AI solutions are transparent testable and maintainable
- Evaluate model performance using quantitative and qualitative metrics
- Monitor and manage model deployment workflows
Perks/Benefits
- 401k match
- Dependent care
- Employee Assistance and Wellness Programs
- Flexible work arrangements
- Health, dental, vision insurance
- Paid time off
- Parental leave
- Professional development opportunities
Skills/Tech-stack
AWS | Azure | CI/CD | Databricks | Docker | ELT | ETL | Google Cloud | Kubeflow | Kubernetes | MLOps | MLflow | PyTorch | Python | SQL | Scikit-learn | TensorFlow
Education
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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