RA

Mlops lead Engineer

Kolkata ₹8-13 LPA Posted 14 May 2025

FULL TIME

Machine Learning

Docker

Kubernetes

Google Cloud Platform

MLops

Responsible for building and maintaining robust machine learning pipelines ensuring efficient model deployment monitoring and lifecycle management within a cloud based environment
Extensive expertise in MLOps specifically with Google Cloud Platform GCP and Vertex AI and a deep understanding of model performance drift detection and GPU accelerators
Build and maintain scalable MLOps pipelines in GCP Vertex AI for endtoend machine learning workflows
Manage the full MLOps lifecycle from data preprocessing model training and deployment to model monitoring and drift detection
Implement realtime model monitoring and drift detection to ensure optimal model performance over time
Building and execution of CICD containerization and orchestration tools Handson experience in Jenkins GitHub Pipelines Docker Kubernetes and OpenShift
Optimize model training and inference processes using GPU accelerators and CUDA
Collaborate with cross functional teams to automate and streamline machine learning model deployment and monitoring
Utilize Python 310 with libraries such as pandas NumPy and TensorFlow to handle data processing and model development
Set up infrastructure for continuous training testing and deployment of machine learning models
Ensure scalability security and high availability in all machine learning operations by implementing best practices in MLOps.