Senior AI/ML Engineer
Tasks
- Apply security compliance and data privacy best practices
- Build AI and ML evaluation and monitoring pipelines
- Deploy and operate AI and ML services in cloud
- Design build and maintain production grade AI and ML solutions
- Develop LLM powered applications and agentic workflows
- Implement end to end AI application pipelines
- Integrate AI and ML with data lakes data warehouses APIs and streaming systems
- Integrate LLM applications with enterprise data sources
- Optimize performance, reliability, and cost
Perks/Benefits
- Backup care
- Dental insurance
- Fertility benefits
- Life insurance
- Long-term care coverage
- Medical insurance
- Paid Holidays
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
AWS | Azure | Cloud Security | Data Ingestion | Data Privacy | Deployment | Governance | LLM | Langchain | Langsmith | Language Models | Large Language Models | Model Evaluation | Monitoring | Prompt engineering | Pydantic | Python | RAG | Streaming
Education
N/A
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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