ML Engineer with Azure Services – 5 to 8 Years – Bangalore

Job type: Permanent
Contact name: Rajat Sharma

Contact email:
Job ref: 35694
Published: 20 days ago
Startdate: 16/11/2021

We are looking for a ML Engineer with 5-8 years of rich experience in designing end-to-end solutions from development to deployment and testing. You will be responsible for leveraging the existing infrastructure within Microsoft Azure to deploy APIs, and applications.

#ml #machinelearning #azure #APIs #modeldeployment

If this sounds exciting, apply with us!

Location- Bangalore

 Your Future Employer

A leading Business Process Management (BPM) company that offers innovative, digitally-led transformational solutions across various industries


  • Designing end-to-end production solutions for assets developed by the data science/modelling team.
  • Leading and advising on best-practice regarding productionising and deployment and maintenance of machine learning products developed by the team.
  • Leading the testing and support of machine learning assets.
  • Working with cloud architects, data engineers and others to manage the infrastructure budgets, and to manage usage and costs to ensure budget is spent efficiently.
  • Leading on the governance of machine learning assets from development to deployment and beyond.


  • Strong experience using Microsoft Azure, particularly on best-practice regarding putting ML assets into production and maintaining them. Experience working specifically with API development in Azure is a bonus.
  • Experience with using Databricks, particularly in Azure, to develop and deploy machine learning assets.
  • Experience with setting up and maintaining production-level pipes in Azure Data Factory.
  • Knowledge of Python, SQL, Scala and R.
  • Proven experience of getting machine learning assets into production, including UAT testing, and maintaining these assets once live.
  • Detailed knowledge of best practice regarding the use of Azure DevOps and Git to ensure version and quality control when putting ML assets into production
  • Experience supporting data science and advanced analytics teams to get their assets into production.


If you think this role is aligned with your career, kindly write me an email along with your updated CV on for a confidential discussion on the role.