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:
- Our primary requirement is for MLOps/LLM Ops Engineers. Specifically, we are looking for professionals who can bridge the gap between data science and data engineering, with hands-on experience in deploying scalable machine learning models within GCP environments.

Essential Job Functions:
- Implement end-to-end solutions based on microservices for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, and performance testing.
- Design, develop,



and deploy machine learning models in a production setting.
- Implement and optimise MLOps pipelines using open-source tools such as Kubeflow, Seldon, MLFlow, Docker, and Kubernetes.
- Collaborate with Data Scientists to streamline the ML model development process and improve model performance.
- Ensure deployed machine learning models' scalability, maintainability, and robustness.
- Monitor and troubleshoot ML model performance and infrastructure issues in production. Knowledge of Prometheus and Grafana stack is valuable
- Supporting and continuously enhancing ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, and system monitoring.
- Work with cloud technologies, particularly GCP, to optimize resource allocation and reduce costs.
- Continuously research and stay up-to-date with the latest trends, tools, and best practices in MLOps.

Qualifications:
- Bachelor's or M

📌 MLOps/LLM Ops Engineers (Bengaluru)
🏢 VARITE
📍 Bengaluru