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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