greenhouse
Software Engineer II
Tower Research Capital
Gurugram, IND
Junior · 2–6 years experience
Discovered 1 weeks ago
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Responsibilities
- Developing data pipelines to collect, process, and analyze diverse datasets at scale.
- Designing and implementing deep learning architectures capable of processing large volumes of data.
- Analyzing model performance by conducting experiments and tests to evaluate effectiveness and identify opportunities for improvement.
- Building and managing agentic workflows to support scalable and efficient AI/ML solutions.
- Optimizing and fine-tuning existing machine learning models to improve performance and effectiveness.
- Building and maintaining pipelines to monitor, manage, and continuously improve production machine learning and deep learning models.
Qualifications
- A bachelor’s, master’s, or PhD degree in computer science or a related field, with at least 2–6 years of relevant experience.
- Experience training, building, and deploying large-scale deep learning models is required.
- Experience designing and implementing sequence and time-series models is required.
- Expertise in Python, with hands-on experience using deep learning frameworks such as PyTorch or TensorFlow.
- Experience with Git, CI/CD pipelines, and MLOps practices for automating model deployment and managing production machine learning workflows.
- Working knowledge of Linux, SQL, Git, and Bash scripting.
Benefits
- Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.
- At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.
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