Software Engineer II
Tower Research Capital
Tower Research Capital Software Engineer II in Gurugram works on data pipelines, deep-learning models and production ML workflows. The source asks for 2-6 years, including experience with sequence/time-series models and deploying large-scale deep learning.
Posted 2026-08-19 on the employer's public board; verified open on 1 November 2026. Location: Gurgaon.
About Tower Research Capital
Tower Research Capital is a quantitative trading firm whose platform combines market data, compute, research infrastructure and business systems. The employer describes independent trading teams supported by shared technology.
The work
- Build data pipelines and deep-learning architectures for large datasets.
- Evaluate and tune models through experiments and performance analysis.
- Maintain model-monitoring pipelines and agentic workflows for production AI/ML systems.
Eligibility and skills
The following is a condensed summary of the employer's requirements, not extra eligibility set by GetFirstJob.
- Bachelor's, master's or Ph.D. in Computer Science or a related field and 2-6 years of relevant experience.
- Experience building, training and deploying large-scale deep-learning models.
- Sequence/time-series modeling and Python with PyTorch or TensorFlow.
- Git, CI/CD, MLOps, Linux, SQL and Bash working knowledge.
Who this suits
Fits ML engineers with genuine deployment experience, not only coursework. The title is broad, but the description clearly centers on deep learning and maintaining model systems after release.
Preparation notes
Prepare a time-series or sequence-model project with leakage controls, evaluation and production monitoring. Explain how a model update moves safely through CI/CD into use. These preparation suggestions are editorial guidance, not a confirmed interview process.
How to apply
Read the full listing and apply on the employer's official posting. The Greenhouse URL is provided by the employer's public jobs feed. Requirements and availability can change after our check. No numerical salary is stated for this India role in the source, so none is estimated here.
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Source
Verified against the employer listing and its public Greenhouse feed on 1 November 2026. Posted date comes from the feed's first_published field. This is an original summary with a direct application link, not a reproduced job description.
This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.