Data Engineer with AI/ML
Tasks
- Architect and deploy scalable data pipelines
- Build and integrate agentic frameworks for autonomous workflows
- Collaborate on compliance with healthcare data standards
- Design AI driven solutions using LLMs for claims adjudication automation
- Develop prompt engineering strategies for LLM applications
- Develop responsible AI solutions for business challenges
- Evaluate and fine tune models for production
- Implement ETL and AI workflows using Python
- Mentor junior engineers and share knowledge
Perks/Benefits
- 401k contribution
- Career development
- Comprehensive benefits
- Equity stock purchase
- Incentive and recognition programs
- Remote work flexibility
Skills/Tech-stack
AWS | Agile | Apache Airflow | Azure ML | Azure ML Studio | CI/CD | Cloud platform | Databricks | DevOps | Docker | ETL | Generative AI | GitHub Actions | Google Cloud | Google Cloud Platform | Hadoop | Huggingface | Langchain | Language Models | Large Language Models | ML Studio | OpenAI API | Prompt engineering | PySpark | Python | SQL | Snowflake | Spark | T-SQL
Education
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