Company Name: VARITE India Private Limited

About The Client:

An Indian multinational information technology (IT) consulting company headquartered in Noida, The company has offices in 52 countries and over 225,944 employees. The Client is a global IT services and consulting company that offers a wide range of services and products across various industries like IT Infrastructure Services, Cybersecurity Services, Cloud Services, Big Data and Analytics, Internet of Things (IoT) Solutions, Semiconductor Services and Enterprise Software Products.

About The Job:
- We're looking for an MLOps Engineer to build, maintain, and optimize our machine learning infrastructure.

Essential Job Functions:
- You'll work closely with data scientists, data engineers, and software engineers to automate and streamline the entire ML model lifecycle, ensuring our models are scalable, reliable, and continuously perform at their best in production environments. Responsibilities " Design and Implement MLOps Pipelines:
- Create and manage automated CI/CD (Continuous Integration/Continuous Deployment)



pipelines for machine learning models, from training and testing to deployment. Infrastructure Management:
- Build and maintain the scalable infrastructure required for ML workloads, primarily on cloud platforms GCP, using tools like Docker and Kubernetes for containerization and orchestration.
- Model Deployment and Serving: Develop robust APIs or microservices to serve machine learning models for real-time inference and integrate them into existing applications.
- Monitoring and Maintenance: Set up comprehensive monitoring and alerting systems to track model performance, data drift, and resource utilization.
- Implement automated retraining strategies when a model's performance degrades.
- Collaboration: Work collaboratively with data scientists to understand model requirements, ensure reproducibility, and streamline the transition from development to production.
- Version Control and Governan

📌 MLOps Engineer (India)
🏢 VARITE
📍 India