Job Title : MLOps Engineer Location:
Gurgaon or Remote Experience Required:
2+ Years Salary Range:
15 to 18 LPA Role Type :
Contract Contract Duration:
5 Months
Company Name:
VARITE India Private Limited
About The Client: An American technological research and consulting firm based in Stamford, Connecticut that conducts research on technology and shares this research through private consulting, executive programs, and conferences. Its clients include large corporations, government agencies, technology companies, and investment firms. The Client serves over 12,000 organizations in over 100 countries with an employee strength of 15,000.
About The Job: Client is seeking a talented and passionate
MLOps
Engineer
to join our growing team. Responsible for building
Python- and Spark-based ML solutions
that ensure the reliability, scalability, and efficiency of machine learning workloads in production. Collaborate closely with data scientists, data engineers, and software engineers to operationalize ML models and optimize MLOps workflows. Leverage expertise in
Python,
Spark, ML model inferencing, AWS, and cloud-native technologies
to drive data-driven initiatives.
Essential Job Functions: MLOps
Infrastructure & Automation: Design, implement, and maintain scalable and reliable
MLOps
pipelines on AWS . Automate ML model inferencing, deployment, monitoring, retraining, and maintenance workflows. Build and maintain
Infrastructure as Code (IaC)
using Terraform or equivalent tools. Implement and manage
CI/CD pipelines
for API, ML model, and infrastructure deployments. Establish automated testing, validation, versioning, and release processes for ML pipelines. Implement model and pipeline monitoring, logging, alerting, and operational dashboards. Develop reusable automation frameworks and deployment patterns for machine learning workloads.
Deployment & Scaling: Deploy pre-trained machine learning models on AWS using services such as
SageMaker, EKS, and AWS
📌 MLOps Engineer (Mumbai)
🏢 VARITE
📍 Mumbai