AI & ML Engineer
Tasks
- Apply Medallion architecture layering
- Build data pipelines for prototyping
- Collaborate on data contracts and APIs
- Coordinate data governance and production handoff
- Develop and deploy AI models in Databricks
- Develop and deploy machine learning models
- Ensure data quality and validate outputs
- Extract transform and load operational data
- Implement RAG and agentic AI workflows
- Integrate GenAI and LLM capabilities
- Perform feature engineering for ML models
- Prepare curated datasets for feature engineering
- Translate business requirements into data and AI solutions
- Use dbt for data transformations and testing
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Conversational agents | DBT | Data Lineage | Data Pipelines | Data Quality | Databricks | Feature Engineering | GenAI | Glue | LLM | Lambda | Machine Learning | Medallion Architecture | Model Evaluation | Model Training | Prompt engineering | Python | Retrieval-Augmented Generation | S3 | SQL | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Data Engineer | Engineer | ML Engineer
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