Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making.
This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation.
Requirements: 4+ years in ML infrastructure or engineering roles Strong knowledge of model deployment, monitoring, and versioning tools Familiarity with SHAP, GenAI, and pipeline orchestration tools (will be a plus) Responsibilities: Build infrastructure for training, serving, and monitoring ML models Support reproducibility and drift detection Enable GenAI-powered recommendations via MLOps pipelines
