MLOps Engineer

Description

Notice period – Immediate to 30 days.

    • Early joining (0 to 30 days)
    •  5-8 years of experience with strong hands on in Python programming language.
    •  Experience on Distributed computing services like Databricks, Pyspark, Delta Lakes Ecosystem
       Experience on any Managed AI/ML Platform (AWS Sagemaker/Azure ML/MLFlow/Kubeflow etc)
    •  Experience in orchestrating and deploying containers, AI/ML workflows, resource management, job allocation using Kubernetes.
    • Good Experience in AWS services such as EC2, S3, AWS Batch Processing, Glue, Spark Processing, Data/ML Pipeline, EMR
    • Experience in building MLOps pipelines using Kubeflow or similar tools(MLFlow/Sagemaker).
    • Good to have scripting capability and the ability to develop AWS environments as a code (Terraform, Cloudformation)
    • Understanding of data structures, data modeling and ML pipelines
    • Access Control Automation – Unity Catalogue, AWS Lake Formation
      Experience using monitoring solutions like Datadog, Grafana and Prometheus
Application ends on June 30, 2024
Application ends on June 30, 2024

Overview

  • Location Pune
  • Job category Networking
  • Salary ₹upto 16 LPA
  • Job type Full Time

Prodian Solutions

Empowering People