Job Description
- 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.
Tech Stack
- Languages: Python
- ML Platforms: MLflow, Kubeflow
- MLOps Tools: Airflow, MLReef, Seldon
- Libraries: scikit-learn, XGBoost, LightGBM
- Cloud: GCP AI Platform
- Containerization: Docker, Kubernetes
Job Category: AI/ML Engineer
Job Type: Full Time
Job Location: Mumbai
Exp-Level: 3 to 5 Years
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