ML Engineering Intern | Tower Research Capital

ML Engineering Intern (6 months)
Please wait 0 seconds...
Scroll Down and click on Go to Link for destination
Congrats! Link is Generated

Tower Research Capital

Role

  • ML Engineering Intern (6 months)

Qualification

  • Any Graduate (2021/2022/2023/2024 Batches)

Experience

  • Freshers

Key Responsibilities 

  • Establish and configure in-house Continuous Integration/Continuous Deployment (CI/CD) tools to facilitate the seamless deployment of machine learning models into production environments.
  • Design and implement robust data pipelines responsible for cleaning, collecting, processing, and analyzing a wide range of diverse datasets to ensure a streamlined and efficient workflow.
  • Play a key role in supporting the development and implementation of statistical and machine learning algorithms and models, contributing to the advancement of cutting-edge technologies within the organization.
  • Conduct rigorous experiments and tests to systematically evaluate the performance of machine learning models, providing valuable insights and recommendations for refinement.
  • Actively participate in the optimization and fine-tuning of existing machine learning models, leveraging insights gained from experimentation to enhance their accuracy and efficiency.

Required Skills

  • Fully fluent in English
  • Skilled in the use of apps and technology.
  • Ability to commit long-term and full-time.
  • Proficient in Linux, SQL, Git, and BASH scripting, demonstrating a versatile skill set for effective system administration and version control.
  • Professionalism.

Age Requirement

  • Minimum 18 years old

Application Deadline

  • 26 January 2024

Salary Pay Scale

  • 3.4+ LPA

Location

  • Gurugram

Apply Here

ML Engineering Intern

Related Posts
loves to learn new things and share them among peers. Researching things, Coding, Learning software and codes, and blogging my hobbies.

Post a Comment

Cookies Consent

This website uses cookies to ensure you get the best experience on our website.