ML Engineer – BFSI Domain

at Expleo

Full Time

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Overview

ML Engineer – BFSI Domain

Responsibilities

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.

Qualifications

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.

Essential skills

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

Experience

3–5 years in ML engineering.

Location

Mumbai, MH, India

Engineer Machine Learning

Job Overview

Job Posted:

3 days ago

Job Expires:

Job Type

Full Time

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