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location : Mumbai (Thane)

Exp :3to 5 yrs

NP Max 15 may joiner

3–5 years in ML engineering.
- 3–5 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

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- 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.

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- Cloud: GCP AI Platform
- Containerization: Docker, Kubernetes
- Languages: Python
- ML Platforms: MLflow, Kubeflow
- MLOps Tools: Airflow, MLReef, Seldon
- Libraries: scikit-learn, XGBoost, LightGBM

📌 ML Engineer (Mumbai)
🏢 Cortex Consultants
📍 Mumbai