AI /ML Engineer
Tasks
- Build ETL/ELT pipelines
- Build LLM-based solutions
- Clean validate and transform data
- Create evaluation frameworks
- Deploy agentic workflows
- Detect hallucinations and bias
- Develop fine tune and evaluate AI ML models
- Implement AI guardrails monitoring and alerting
- Implement prompt versioning and regression testing
- Integrate LLMs into production features
- Monitor inference latency token usage and compute costs
- Optimize performance and cost
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | AWS Bedrock | AWS ECS | AWS EKS | AWS Lambda | Airflow | Anthropic Claude | Cloud Development | Cloud Development Kit | CloudFormation | Cost Optimization | CrewAI | DBT | ELT | ETL | Fivetran | LLM | Langchain | Latency optimization | Model Evaluation | OpenAI API | OpenSearch | PGVector | Pinecone | PostgreSQL | Prompt engineering | Python | React | Redis | Ruby on Rails | SQL | Serverless | Snowflake | Vector Databases
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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