Title: Specialist Machine learning
Location: Pune
Exp: 5-9 Years

Key Responsibilities
Design and train the Gate Readiness Prediction model: classify/predict likelihood of gate success across all 6 gates (Pre-KO SOVP) using historical SNPD gate cycle times, deliverable completion rates, and predecessor adherence.
Build the Predictive Risk Heat-map: compound urgency risk scoring across project, part, and supplier dimensions using structured SNPD, SAP cost, and PLM data.
Develop the Supplier Risk Scoring model (Phase 2): supplier profiling using PPAP outcomes, AQP scores, vendor quality history from SAP, and onboarding benchmarks.
Build the Lessons-Learned Recommender (Phase 2): retrieval + ranking model over historical project data, gate outcomes, and documented lessons in the SNPD knowledge base.
Engineer training feature pipelines from the three-tier data architecture: Azure SQL (live), ADLS Gen2 Delta Lake (historical/ML features), and Azure AI Search (vector).




Implement SHAP-based explainability outputs for all predictive models mandatory for gate reviewer trust and IATF 16949 audit traceability.
Set up and maintain MLflow experiment tracking, model registry, and deployment versioning on Azure ML.
Integrate model inference endpoints into SNPD AI microservices; ensure low-latency serving (P95
Implement model monitoring: drift detection, performance degradation alerts, and automated retraining triggers via Azure Data Factory pipelines.
Conduct rigorous model evaluation: precision/recall/F1 for classification tasks, MAE/RMSE for regression; fairness checks across project types (M2/M4/M6) and portfolio buckets.
Collaborate with the Data Engineer on feature store design, training data quality, and CDC-based incremental refresh from SAP/PLM sources.
Document model cards: training data lineage, performance benchmarks, known limitations, and re-training cadence for each deployed model.

TECHNICAL SKILLS REQUIRED Python 3.10+ scikit-learn, XGBoost, LightGBM Azure Data Fac

📌 Specialist Machine learning (Pune)
🏢 NR Consulting
📍 Pune