Data Scientist / Applied ML Engineer - Applied LLMs & Document Intelligenc

Mandatory / Core Skills (Must-Have)

- Python + Production-Grade Software Engineering
- LLM Application Engineering + Prompt Engineering
- AI Document Extraction Pipelines
- Evaluation Frameworks + Model Quality Measurement
- Structured Outputs + Pydantic Validation
- Azure AI Services (OpenAI, Document Intelligence, Azure ML)
- Data Wrangling (Pandas) + SQL
- MLflow + Experiment Tracking
- Precision/Recall/F1 Metrics + Performance Evaluation
- Enterprise Data Integration (Snowflake, Cosmos DB, SAP)
- CI/CD (GitLab) + Git-Based Development
- Automated Testing + Code Reviews
- OpenTelemetry + Monitoring + Observability
- Human-in-the-Loop AI Systems
- Secure Data Handling + Secrets Management




- Production Deployment + Pipeline Operations

Valuable-to-Have Skills
- SAP OData Integrations
- Cosmos DB + Snowflake Engineering
- Streamlit Dashboard Development
- Power BI Reporting & Analytics
- Azure Functions
- Grafana Monitoring
- Confidence Calibration & Drift Detection
- Data Labeling Workflows
- RAG (Retrieval-Augmented Generation)
- Recommender Systems
- Managed Identity + Key Vault
- Agentic Development Workflows
- Business Rules Engine Development
- Data Lineage & Auditability Frameworks
- Cost, Latency & Reliability Optimization

📌 Data Scientist (Bengaluru)
🏢 Info way Solutions
📍 Bengaluru