Staff Machine Learning Engineer
Tasks
- Apply automated testing and secure development
- Architect real time ML serving
- Automate retraining and redeployment pipelines
- Build ML integration pipelines and contracts
- Build infrastructure as code
- Deploy real time ML endpoints
- Detect data drift and concept drift
- Develop cloud production systems
- Implement CI/CD pipelines
- Implement MLOps governance and observability
- Lead end-to-end ML lifecycle
- Mentor engineers through design and code reviews
- Monitor and alert model performance
- Optimize ML model latency and throughput
Perks/Benefits
- 401k match
- Bonding Leave
- Dental insurance
- Disability insurance
- Employee assistance program
- Holiday leave
- Life insurance
- Maternity leave
- Medical insurance
- Paid time off
- Vision insurance
- Wellbeing resources
Skills/Tech-stack
AWS | Artificial Intelligence | Automated retraining | CI/CD | Cloud Computing | Concept drift | Concept drift detection | Data Drift | Data Drift Detection | Deep learning | Docker | Drift Detection | Generative AI | Gradient boosting | Infrastructure as Code | Kubernetes | LLM | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Observability | PyTorch | Python | Secure Software | Secure Software Development | Software development | TensorFlow | Terraform | Test-Driven | Test-Driven Development | Transformers | “as-code”
Education
Regions
Countries
States
Cities
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