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Machine Learning Engineer @ Expleo

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 Machine Learning Engineer

Job Description

Role & 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.
  • 35 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.
  • Languages: Python
  • ML Platforms: MLflow, Kubeflow
  • MLOps Tools: Airflow, MLReef, Seldon
  • Libraries: scikit-learn, XGBoost, LightGBM
  • Cloud: GCP AI Platform
  • Containerization: Docker, Kubernetes
  • 35 years in ML engineering.

Preferred candidate profile

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Expleo
Location(s): Mumbai

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Keyskills:   Machine Learning Gcp Cloud Ml

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Expleo

With 1000+ Global teams and operations in the USA, UK, CANADA, and INDIA, VARITE is currently engaged with leading technology, financial, automotive, defense, energy, pharmaceuticals/life sciences, semiconductor, and engineering companies to provide software consulting, team augmentation and key bus...