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MLOPs Engineer @ Tech Mahindra

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Tech Mahindra  MLOPs Engineer

Job Description

  • Strong understating of Python, ML concepts and frameworks, Fast API, Graph QL
  • Experience in developing scalable APIs.
  • Knowledge of AWS, preferred services are storage, EC2, Kubernetes
  • Exposure of ML best practices, documentation and unit testing.
  • ML Flow, AirFlow, ML pipeline creation, drift monitoring and control
  • Experience in developing and deploying machine learning models in a production environment using CI/CD.
  • Communicate with clients to understand requirements and ask right questions.
  • Knowledge of Django and database design will be added advantage.
  • Strong analytical and problem-solving skills.

Standards:

  • Model Deployment Standards
  • Use standardized APIs (e.g., RESTful) to interface with models
  • Implement model versioning and proper naming conventions
  • Monitoring and Maintenance
  • Schedule routine model retraining and monitoring
  • Code Quality Standards
  • Follow style guides (e.g., PEP 8 in Python)
  • Write comprehensive debugging and tests

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: Tech Mahindra
Location(s): Hyderabad

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Keyskills:   MLOps AWS Airflow Model deployment pipeline creation CI/CD Aws Sagemaker MLflow Ml Pipelines Python

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Tech Mahindra

Tech Mahindra Limited is an Indian multinational provider of information technology (IT), networking technology solutions and Business Process Outsourcing (BPO) to the telecommunications industry. Tech Mahindra is a US$4.2 billion company with over 117,000 employees across 90 countries. It provide...