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

Job type: Permanent
Contact name: Rajat Sharma

Contact email: rajat.sharma@crescendogroup.in
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

RESPONSIBILITIES:

  • 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.

REQUIREMENTS:

  • 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.

REACH US:

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