We provide IT Staff Augmentation Services!


Machine Learning Support Mlops, LeaD


  • Data Science Model Life Cycle
  • ML Model Performance Tuning (with SME inputs)
  • ML Model Deployment & Monitorin
  • Docker Containers, Kubernetes & ML Pipelines
  • Model Deployment & Monitoring in Cloud (MLOps)
  • (Azure ML Service/ AWS Sage Maker/ Google AI Platform, IBM)
  • Actual Project Experience in at least one Cloud based ML environment
  • Azure ML Service & Python SDK
  • Python 3.x Programming
  • RESTful APIs for wrapping ML Models / System Integration
  • CI/CD Integration



Machine Learning Support (MLOps) Lead


  • Gain understanding of Pilot Scope ML models and methodology used.
  • Design and Build the Model Deployment and Monitoring solution for Pilot scope
  • Design and Build production ML pipelines if not available
  • Design and Build deployment and monitoring scripts to be developed
  • Design and Build Model Monitoring scripts & dashboards
  • Regular interaction with business for finalizing the requirements, and model monitoring metrics, reviewing implementation plan etc.
  • Perform Model Deployment in production environment (Azure)
  • Perform Model Refresh
  • Monitor Model Performance
  • Perform Model tuning
  • Tune monitoring scripts and reporting dashboards
  • Analyze and Define Updates to ML Pipeline, Deployment & Monitoring scripts to accommodate any application/data/model changes
  • Model Version & Configuration Management

Hire Now