AI Engineer - AI, Data & Platforms
Tasks
- Adapt global AI use cases into production workflows
- Build data pipelines for enterprise AI
- Build feature stores and retrieval layers
- Develop and deploy LLM-based applications
- Develop and deploy machine learning models
- Ensure clean code and clear technical communication
- Evaluate AI models for production readiness
- Implement data quality lineage and observability
- Operate end to end AI use cases
- Translate business problems into AI driven solutions
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Apache Airflow | Apache Spark | DBT | Dagster | Data Lineage | Data Quality | Databricks | Fine Tuning | LLM Applications | Language Models | Large Language Models | Machine Learning | Model Evaluation | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Snowflake
Education
N/A
Roles
AI | AI Engineer | Engineer
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