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Machine Learning Engineer @ Infosys

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 Machine Learning Engineer

Job Description

    Tower Research Capital is a leading quantitative trading firm founded in 1998, known for its high-performance platform and independent trading teams. With a 25+ year track record of innovation, Tower has a reputation for discovering unique market opportunities. At Tower, you will find some of the world's best systematic trading and engineering talent. Portfolio managers are empowered to build their teams and strategies independently, benefiting from the economies of scale of a large, global organization. Engineers at Tower thrive while developing electronic trading infrastructure at a world-class level. They tackle challenging problems in low-latency programming, FPGA technology, hardware acceleration, and machine learning. Tower's continuous investment in top engineering talent and technology ensures its platform remains unmatched in functionality, scalability, and performance. Every employee at Tower plays a vital role in the company's success. Business Support teams are essential in building and maintaining the platform that powers all operations, combining market access, data, compute, research infrastructure, risk management, compliance, and business services. These teams enable trading and engineering teams to perform at their best. In this role, your responsibilities will include developing data pipelines for collecting, processing, and analyzing diverse datasets, designing and implementing deep learning architectures for large volumes of data, conducting experiments to evaluate model performance, contributing to optimizing existing machine learning models, and building pipelines for monitoring, managing, and improving production ML/DL models. The ideal candidate will have a bachelor's, master's, or PhD degree from a top university, with 2-6 years of experience. Prior experience in training, building, and deploying large-scale deep learning models is mandatory, as well as experience in designing and implementing sequence and time series models. Proficiency in Git, CI/CD pipelines, MLOps for automating model deployments, Linux, SQL, Git, BASH scripting, Python, and hands-on experience with Pytorch/Tensorflow are required. Tower's headquarters are located in the historic Equitable Building in the heart of NYC's Financial District, with a global impact and over a dozen offices worldwide. The company fosters a culture that values both challenge and enjoyment, where smart, driven people thrive without egos. Benefits include generous paid time off policies, savings plans, hybrid working opportunities, free meals and snacks, in-office wellness experiences, volunteer opportunities, social events, continuous learning opportunities, and more. Join Tower Research Capital to be part of a collaborative and welcoming culture, working with a diverse team in an environment that values performance and enjoyment over unnecessary hierarchy and ego. Tower Research Capital is an equal opportunity employer.,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Machine Learning Engineer

Contact Details:

Company: Tower Research Capital
Location(s): Haryana

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Keyskills:   Python Linux SQL Git BASH scripting Deep Learning Machine Learning Pytorch Tensorflow

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