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 : PythonML Platforms : MLflow, KubeflowMLOps Tools : Airflow, MLReef, SeldonLibraries : scikit-learn, XGBoost, LightGBMCloud : GCP AI PlatformContainerization : Docker, KubernetesJob Category : AI / ML Engineer
Job Type : Full Time
Job Location : Mumbai
Exp-Level : 3 to 5 Years
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Skills Required
Airflow, Docker, XGBoost, Kubernetes, Python