Senior Machine Learning Engineer
US - California - Thousand Oaks - Field/Remote, United States
R
USD 156K-211K Senior-level Full Time
Tasks
- Build data pipelines and feature engineering workflows
- Build model training evaluation and deployment pipelines
- Deliver AI and ML enabled applications
- Deploy and maintain MLOps solutions on cloud platforms
- Develop scalable machine learning platforms and workflows
- Ensure model traceability and reproducibility
- Implement MLOps best practices
- Implement experiment tracking and model registry
- Manage cloud infrastructure as code
- Monitor model performance evaluations
- Productionize machine learning solutions
- Set up CI/CD pipelines
Perks/Benefits
- Award-winning time-off plans
- Career development opportunities
- Comprehensive health plan
- Dental coverage
- Disability insurance
- Flexible spending accounts
- Flexible work models
- Life insurance
- Retirement and savings plan
- Stock-based long-term incentives
- Vision coverage
Skills/Tech-stack
AWS | Apache Spark | CI/CD | Databricks | Docker | Kubeflow | Kubernetes | Langchain | MLOps | MLflow | Machine Learning | PyTorch | Python | Scikit-learn | TensorFlow | Terraform | Weights and Biases
Education
Associate Degree | Bachelor of Science | Doctorate Degree | High School Diploma | Master of Science
Regions
Countries
States
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