Online applications are invited from engineering students for the Internship Opportunity at Thermo Fisher Scientific, Bangalore.

About Thermo Fisher Scientific

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion.

Roles & Responsibilities

As an Intern for MLOps Innovation solution, you will have the opportunity to learn about the technology stack for ML development that powers the life science industry. You’ll learn how we use data to fuel machine learning use cases directly impacting the integration of models in product execution and its operations.

A day in the Life:

  • Assisting team members with assigned tasks (data wrangling, data modeling, data visualization, ML pipelines, evaluating Auto ML across different cloud technologies).
  • Attending meetings and other learning opportunities.
  • Other tasks under the direction of the supervisor.

Eligibility Criteria

  • Must be enrolled in a graduate degree program.
  • Proficient in Python, SQL, and ML Libraries: PyTorch or Tensorflow.
  • Good in data literacy, data preparation, and data analysis to prepare for ML use cases.
  • String in Jupyter notebooks to demonstrate proof of concept for use case under observation.
  • Good communication and interpersonal skills.
  • Good organizational skills and strong attention to detail, with proven ability to handle multiple tasks efficiently and effectively.
  • Good English and grammar skills, including solid writing skills.
  • Strong computer skills, proficient in MS Word, Excel, PowerPoint, etc.
  • Strong research skills.
  • Demonstrated maturity and professional presentations.
  • Knowledge about any cloud services provider like AWS, Azure, or Google Cloud.
  • Knowledge of AutoML libraries and offerings from different cloud service providers.

How to Apply?

Interested applicants can apply for the internship through this link.

Location

Bangalore, Karnataka, India.

Click here to view the official notification of the Internship Opportunity at Thermo Fisher Scientific.

Image taken from here.