Data Scientist

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 Good-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 Show more