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Tower Research Capital intern
Company Name: Tower Research Capital
Position: ML Intern (Summer Internship 2024)
Location: Gurgaon
Qualification: A bachelor’s, master's, or PhD (ongoing or complete) degree or equivalent from a top university, available to join for an in-office Summer Internship from May 2024.
Required Skills: Prior experience with training, building, and deploying models via Tensorflow/Pytorch (or similar) is mandatory. Experience with 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.
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Company Name: Tower Research Capital
Position: ML Intern
Location: Chennai
Qualification: A bachelor’s, master's, or PhD (ongoing or complete) degree or equivalent from a top university, available to join for an in-office Summer Internship from May 2025.
Required Skills: Prior experience with training, building, and deploying models via Tensorflow/Pytorch (or similar) is mandatory. Experience with 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.
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Company Name: Tower Research Capital
Position: ML Intern
Location: Gurgaon
Qualification: A bachelor’s, master's, or PhD (ongoing or complete) degree or equivalent from a top university, available to join for an in-office Summer Internship from May 2025.
Required Skills: Prior experience with training, building, and deploying models via Tensorflow/Pytorch (or similar) is mandatory. Experience with 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.
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Company Name: Tower Research Capital
Position: Core Engineering Intern
Location: Gurgaon, Haryana
Required Skills: Strong problem-solving and knowledge of data structures & algorithms. Proficiency in Python, Java, shell scripting, and Linux. Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Elasticsearch) databases. Ability to multitask in a fast-paced environment and good English communication skills. Additionally, candidates should be eager to work on complex trading systems and have a keen eye for detail. A collaborative mindset and willingness to learn in a dynamic environment will help you succeed in this role.
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