ML Engineering Intern (6 months)

Responsibilities -

Set up in-house CI/CD tools to deploy machine learning models into production environments.
Developing data pipelines for cleaning, collecting, processing, and analyzing diverse datasets.
Support the development and implementation of statistical and machine learning algorithms and models.
Conduct experiments and tests to evaluate model performance.
Contribute to optimizing and fine-tuning existing machine learning models.

Qualifications -

A bachelor’s, master's, or PhD (ongoing or complete) degree or equivalent from a top university, available to join from January 2024 for 6 months for an in-office internship.
Prior experience with training, building, and deploying models via Tensorflow/Pytorch (or similar) is mandatory.
Experience with CI/CD pipelines and MLOps for automating model deployments.
Skilled in using Linux, SQL, Git, and BASH scripting.
Strong knowledge of Python and hands-on.
Experience in the Finance domain is a plus.

Click Here to Apply

[ Article by: team tosscall ]