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.

Benefits

Tower continues to enhance the in-house trading system and strategies that have positioned the firm as a leader in the thriving field of quantitative trading. While Tower offers challenges and rewards rivaling those of any Wall Street firm, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on the quality of life. Benefits include:

• Competitive stipend
• Breakfast, lunch, dinner, and snacks on a daily basis
• Cab facility within Gurgaon

Tower Research Capital is an equal opportunity employer.