Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Machine Learning Engineer to join our Core AI & Machine Learning team.
Responsibilities
- Developing data pipelines for collecting, processing, and analyzing diverse datasets.
- Design and implement deep learning architectures for large volumes of data.
- Conduct experiments and tests to evaluate model performance.
- Contribute to optimizing and fine-tuning existing machine learning models.
- Build pipelines for monitoring, managing and constantly improving production ML/DL models.
Qualifications
- A bachelor’s, master's, or PhD (complete) degree or equivalent from a top university, with 2-6 years of experience.
- Prior experience with training, building, and deploying large scale deep learning models is mandatory.
- Prior experience designing and implementing sequence and time series models is required.
- Experience with Git, 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 (Pytorch/Tensorflow).
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 quality of life. Benefits include:
- Competitive salary and performance-based bonuses
- 5 weeks of paid vacation per year
- Breakfast, lunch, dinner, and snacks on a daily basis
- Cab facility within Gurgaon
- Health club allowances
Tower Research Capital is an equal opportunity employer
Top Skills
What We Do
Founded in 1998 by Mark Gorton, Tower Research Capital is a trading and technology company that has built some of the fastest, most sophisticated electronic trading platforms in the world.
.JPG)
_2.png)
