ML Engineer (GCP & Python )_BFSI domain-3+ Years

location : Mumbai (Thane) Exp :3to 5 yrs NP Max 15 may joiner 35 years in ML engineering. 35 years in ML engineering. Hands-on experience with MLOps and ML pipeline automation in BFSI context. Knowledge of security and compliance in ML lifecycle for finance. Tech Stack Build robust ML pipelines and automate model training, evaluation, and deployment. Optimize and tune models for financial time-series, pricing engines, and fraud detection. Collaborate with data scientists and data engineers to deploy scalable and secure ML models. Monitor model drift, data drift, and ensure models are retrained and updated as per regulatory norms. Implement CI/CD for ML and integrate with enterprise applications. Cloud: GCP AI Platform Containerization: Docker, Kubernetes Languages: Python ML Platforms: MLflow, Kubeflow MLOps Tools: Airflow, MLReef, Seldon Libraries: scikit-learn, XGBoost, LightGBM .