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, Gen AI, and pipeline orchestration tools (will be a plus)
Responsibilities:
- Build infrastructure for training, serving, and monitoring ML models
- Support reproducibility and drift detection
- Enable Gen AI-powered recommendations via MLOps pipelines
