Senior Machine Learning Engineer

4 days ago

Hyderabad, Telangana, India Clean Harbors Full time US$ 1,25,000 - US$ 1,75,000 per year

Job Title: Sr Machine Learning Engineer

Experience: 6 to 15 Years - Min 5+ years as ML Engineer

Location: Hyderabad

Working Hours: 12.00pm to 9.00pm

At Clean Harbors, we are seeking Mid-Level Machine Learning Engineers with experience in Microsoft Azure. The ideal candidate(s) will have a strong understanding of machine learning techniques and experience with Azures suite of data services. This role will involve designing and developing machine learning systems, conducting experiments, and staying updated with the latest developments in the field.

Key Responsibilities:

  • Ensure that Health and Safety is the number one goal by following policies, processes, and always acting in a safe manner.
  • Implement, configure, and manage various Microsoft Azure solutions and services: You will be responsible for implementing and managing a variety of Azure solutions and services, including but not limited to Azure Machine Learning, Azure Databricks, and Azure Data Factory.
  • Collaborate with IT teams and business units to design Azure architectures: You will work closely with other IT teams and business units to design and implement Azure architectures that meet the needs of the organization.
  • Assist in the migration of data, and services to the Azure cloud platform: You will play a key role in migrating existing data, and services to the Azure cloud platform and integration to both Cloud and OnPrem Applications.
  • Design the data pipelines and engineering infrastructure to support enterprise machine learning systems at scale: You will be responsible for designing and implementing data pipelines and engineering infrastructure that can support machine learning systems at an enterprise scale.
  • Take offline models data scientists build and turn them into a real machine learning production system: You will work with data scientists to take their offline models and turn them into production-ready machine learning systems.
  • Develop and deploy scalable tools and services for handling machine learning training and inference: You will develop and deploy tools and services that can handle machine learning training and inference at scale.

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