In_senior Associate - Azure Ml Ops_data And Analytics_advisory_pune

Pwpoland

Onsite
Proficiency in azure ml ops
Machine learning model deployment
Onsite full-time work
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities

Job Summary

  • At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.
  • This role is critical in ensuring the seamless integration of AI solutions into business processes through deployment, management, and optimization of ML models.
  • Opportunity to work on cutting-edge machine learning technologies in a dynamic and collaborative environment with a competitive salary and benefits package.

Matching Summary

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.

Skills & Requirements

Must-have

  • Proficiency in Azure ML Ops
  • Machine learning model deployment
  • Onsite full-time work
  • Azure ML services management
  • Optimization of ML model performance

Nice-to-have

  • Experience in machine learning automation
  • Collaboration with cross-functional teams
  • Documentation of ML workflows
  • Problem-solving skills
  • Data manipulation and visualization

Key Requirements

  • 6–10 years relevant experience in ML operations
  • Hands-on expertise in Azure ML Ops
  • Preferred background in Computer Science, Data Science, or Engineering
  • Master of Engineering, MBA, or Bachelor of Engineering preferred
  • Proficiency in Azure DevOps

Work Rights

Not specified

Tailored Resume

Cover Letter