Machine Learning Internship Program :-
Tower Research Capital is hiring candidates for the role of Machine Learning Intern for the Gurgaon, Haryana, India locations. The complete details about Machine Learning Internship Program are as follows.
Company Name:- | Tower Research Capital |
Required Education: | bachelor’s, master’s, or PhD |
Required Experience: | Freshers |
Required Skills: | CI/CD pipelines and MLOps Linux, SQL, Git, and BASH scripting |
Salary Range: | Upto Rs. 35000/- per month |
Qualifications
- A bachelor’s, master’s, or PhD (ongoing or complete) degree or equivalent from a top university, available to join for an in-office Summer Internship from May 2025.
- 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.
Roles & Responsibilities:
Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks an Intern to join our Core AI & Machine Learning team.
- Developing data pipelines for cleaning, collecting, processing, and analyzing diverse datasets.
- Design and implement machine learning and LLM-based NLP models.
- Conduct experiments and tests to evaluate model performance.
- Contribute to optimizing and fine-tuning existing machine learning models.
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.
Skills Required
Machine Learning Internship Program Application Process:-
Apply In Below Link
Apply Link:- Click Here To Apply (Apply before the link expires)
Note:– Only shortlisted candidates will receive the call letter for further rounds