Senior ML Engineer, Generative AI
Tasks
- Build ML and LLM pipelines for production use cases
- Develop and optimize LLM solutions with prompt engineering and RAG
- Establish ML Ops practices for CI CD experimentation evaluation and observability
- Lead design implementation and evolution of GenAI and LLM products
- Mentor engineers and data scientists conduct code and design reviews
- Monitor and improve model performance in production
- Partner with cross functional teams on security and data governance for production AI
Perks/Benefits
- Company sponsored retirement plan
- Continual development
- Flexible work environment
- Health and wellness benefits
- Health, dental, and vision insurance
- Internal career growth opportunities
- Paid time off
- Volunteer time off
Skills/Tech-stack
AWS | AWS Glue | Amazon EC2 | Amazon RDS | Amazon S3 | Amazon SageMaker | CI/CD | Docker | Drift Detection | Experiment tracking | Fine Tuning | Gradient boosting | Kubernetes | Kubernetes APIs | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model Registry | NLP | Network inference | Neural Network | Neural Networks | Neural network inference | Observability | Prompt engineering | Python | Random Forest | Retrieval-Augmented Generation | SQL | Spark | Transformer | Vector Databases | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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