RA

Mlops lead Engineer

RARR Technologies
Kolkata8-13 LPA Posted 14 May 2025
FULL TIME
vertex
Machine Learning
Gcp
Google Cloud Platform
MLops

Job Description

  • 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.
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