ML Engineer

Key Skills

Continuous Integration & Continuous Delivery - CI/CD, Deep Learning, Design, Git, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

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