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ai ml automate model training evaluation deployment pricing data drift stack python mlflow airflow xgboost gcp containerization docker kubernetes storage

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On-site

Job Type

Full Time

Job Description

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 Apply for this position Full Name * Email * Phone * Cover Letter * Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. * Recent Comments Show more Show less

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