AI/ML Engineer
Tasks
- Build agentic workflows
- Build ingestion pipelines
- Create automated regression tests
- Develop model monitoring and alerting
- Ensure PII PHI masking and deletion
- Implement AI guardrails and safety checks
- Implement data quality checks
- Integrate and deploy LLMs in production
- Maintain data contracts and lineage
- Monitor and optimize model and warehouse costs
- Transform raw data with dbt
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS Bedrock | AWS CDK | AWS ECS | AWS EKS | AWS Lambda | Airflow | Batch Processing | CDC | Caching | CloudFormation | CrewAI | DBT | Data Quality | Docker | Fivetran | Incremental Modeling | LLM | LLM integration | Langchain | Materializations | Model Evaluation | OpenAI API | OpenSearch | PGVector | PHI Redaction | PII PHI Redaction | PII/PHI | Pinecone | PostgreSQL | Prompt engineering | Python | React | Redis | Ruby on Rails | SQL | Serverless | Service Level | Service Level Targets | Snowflake | Token optimization | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science | Bachelor of Science in Information Systems
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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