Machine Learning Engineer (Chicago)
Tasks
- Build data pipelines and workflow orchestration
- Deploy and maintain scalable ML services
- Design and build ML and GenAI solutions for production
- Develop retrieval and search capabilities for ML and GenAI
- Integrate ML and GenAI solutions across data sources
- Monitor production reliability and performance
- Support AI governance policies and guidelines
- Use metrics to improve existing ML solutions
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Amazon Bedrock | Amazon SageMaker | Automated testing | Containerization | Data Pipelines | Docker | Generative AI | Kubernetes | LLM | LLM Evaluation | Machine Learning | Observability | Performance optimization | Python | Retrieval-Augmented Generation | S3 | Version control
Education
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