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Tower Research Capital Recruitment Drive 2024 || ML Intern || Gurgaon, India
Tower Research Capital Recruitment Drive 2024 || ML Intern
Job Overview
Tower Research Capital is hiring for the position of ML Intern in Gurgaon, India. Below are the details for this position.
| Company | Tower Research Capital |
|---|---|
| Position | ML Intern |
| Location | Gurgaon, India |
| Job Type | Intern |
About the Company: Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks an Intern to join our Core AI & Machine Learning team.
Responsibilities
- 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.
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 experience.
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.
How to Apply
Interested candidates can apply using the link below:
Apply Now(Apply before the link expires)
Note: Only shortlisted candidates will be contacted for further rounds.
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