Senior AI/ML Engineer
Tasks
- Build and maintain production AI and ML solutions across Azure and AWS
- Deploy and monitor AI applications
- Develop agentic workflows using orchestration and observability tools
- Develop prompt engineering and evaluation workflows
- Ensure security compliance and data privacy for AI systems
- Implement end to end AI application pipelines
- Integrate LLM applications with enterprise data sources and retrieval systems
- Optimize performance reliability and cloud cost for AI services
- Support AI solution lifecycle management and versioning
Perks/Benefits
- Commuter benefits
- Dental insurance
- Fertility benefits
- Health insurance
- Life insurance
- Long-term care coverage
- Paid Holidays
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
APIs | AWS | Azure | CI/CD | Cloud Security | Data Governance | Data Lakes | Data Privacy | Data Warehouses | Langchain | Langsmith | Language Models | Large Language Models | Model Evaluation | Prompt engineering | Pydantic | Python | Retrieval-Augmented Generation | Streaming systems
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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