📋 Job Details at a Glance 📍 Location Gurgaon, Haryana, India 🏢 Company Tower Research Capital 👥 Experience Fresher 🎓 Qualification Bachelor’s / Master’s / PhD — Ongoing or Completed, or Equivalent Qualification 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹33,000–₹58,000/month 🏢 Industry Technology 🛠 Key Skills Python Machine Learning Agentic AI Multi-Agent Systems MCP Claude Code TensorFlow PyTorch MLOps Linux AI/ML Intern at Tower Research Capital — Full Details & How to Apply Tower Research Capital is seeking an AI/ML Intern to join their team in Gurgaon, Haryana, India . This role offers freshers a chance to work with cutting-edge technologies in a leading financial technology firm, with a competitive salary ranging from ₹33,000–₹58,000/month . The demand for AI/ML skills in the financial sector is surging, making this AI/ML Intern role crucial for freshers looking to enter a high-growth field. As financial institutions increasingly rely on advanced algorithms to enhance trading efficiency, this internship provides a unique opportunity to contribute to impactful projects that shape the future of trading technology. What sets Tower Research Capital apart is its commitment to innovation and excellence. Founded in 1998 , the company employs over 1,000 professionals globally, specializing in quantitative trading and technology. This internship allows you to be part of a culture that values collaboration and cutting-edge research, making it an ideal environment for aspiring AI/ML professionals. We encourage 2024, 2025, 2026 graduates with a Bachelor’s / Master’s / PhD — Ongoing or Completed, or Equivalent Qualification to apply. This role is perfect for those with fresher experience who are eager to dive into the world of AI/ML. With a competitive salary of ₹33,000–₹58,000/month , this position offers a solid foundation for your career. As an AI/ML Intern , you will gain hands-on experience with essential tools such as Python , TensorFlow , and PyTorch . This role not only enhances your technical skills but also opens doors to advanced career opportunities in the rapidly evolving AI/ML landscape, giving you a competitive edge in the job market. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The AI/ML Intern at Tower Research Capital will focus on developing machine learning models that enhance trading strategies, directly impacting financial decision-making and algorithm performance. Develop and implement machine learning models using Python to optimize trading strategies based on real-time data analysis. Utilize TensorFlow and PyTorch for building and training neural networks specifically tailored to financial data. Collaborate with the data engineering team to integrate AI solutions into existing trading systems, ensuring seamless functionality. Analyze performance metrics of AI models to ensure they meet predefined benchmarks, utilizing statistical tools for evaluation. Propose new AI methodologies to enhance trading algorithms, focusing on innovative approaches to improve efficiency. Document project progress and findings using Git for version control, facilitating knowledge sharing within the team. Assist in troubleshooting AI-related issues , providing support to traders and analysts to ensure optimal system performance. This role fosters an ownership culture, allowing interns to make direct contributions to trading strategies and AI advancements within the firm. Required Skills & Technical Competencies The ideal candidate will possess a strong technical skill set essential for developing and implementing AI solutions in trading environments. Technical Skills Python — entry — essential for developing algorithms and conducting data analysis relevant to trading. Machine Learning — entry — critical for understanding and implementing predictive models tailored to financial applications. Agentic AI — entry — knowledge of this concept aids in creating autonomous trading systems that adapt to market conditions. MLOps — entry — familiarity with MLOps practices ensures smooth deployment and monitoring of machine learning models in production. SQL — entry — used for querying and managing data, crucial for data-driven decision-making in trading environments. TensorFlow — entry — employed for building and training neural networks that analyze financial data effectively. PyTorch — entry — utilized for developing deep learning models that enhance trading strategies through advanced analytics. Linux — entry — knowledge of this operating system is beneficial for managing development environments and executing scripts. Git — entry — used for version control, ensuring collaborative project management and documentation. Bash — entry — utilized for scripting and automating tasks in a Linux environment, enhancing workflow efficiency. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and application of these technologies. Eligibility Criteria This role is designed for candidates pursuing or holding a degree in relevant fields, providing foundational knowledge for AI/ML applications in finance. Candidates must hold or be pursuing a Bachelor’s , Master’s , or PhD in Computer Science , Data Science , or related fields. Eligible batches include 2024 , 2025 , and 2026 , allowing students to gain practical experience before graduation. No prior experience is required, making this role ideal for freshers eager to start their careers in AI/ML . A minimum academic performance of 60% or equivalent CGPA is preferred to ensure a strong foundational knowledge. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant projects, and technical skills. Highlight any experience with Python , TensorFlow , or SQL . Pro tip: Include specific examples of projects where you applied machine learning techniques, as this will strengthen your application for the AI/ML Intern position. Salary for AI/ML Intern at Tower Research Capital 💰 Compensation ₹33,000–₹58,000/month The advertised compensation for the AI/ML Intern role at Tower Research Capital is ₹33,000–₹58,000/month . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AI/ML Intern Upskilling with the right resources significantly enhances your chances of selection for the AI/ML Intern role at Tower Research Capital . Recommended Courses & Resources Python — Essential for coding and implementing machine learning algorithms. Machine Learning — Core knowledge needed for understanding AI/ML concepts and applications. Agentic AI — Focuses on advanced AI concepts relevant to multi-agent systems. TensorFlow — A key framework for building machine learning models. KodNest — Provides practical experience in coding and AI/ML projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight specific skills mentioned in the job description. ❌ Neglecting relevant projects — Include coursework that demonstrates technical capabilities. ❌ Using a generic cover letter — Personalize it for Tower Research Capital. ❌ Overlooking teamwork skills — Showcase collaboration abilities in your application. ❌ Not preparing for technical questions — Review machine learning concepts before interviews. ❌ Submitting without proofreading — Ensure clarity and correctness in your application. Before You Apply — Checklist ✅ Research Tower Research Capital to understand its culture and values before applying. ✅ Update your resume to reflect relevant skills and experiences tailored to the internship. ✅ Prepare a cover letter that specifically addresses why you want to work at Tower Research Capital. ✅ Gather any necessary documents, such as transcripts or recommendation letters, for the application. ✅ Ensure your GitHub or portfolio is up-to-date with relevant projects. ✅ Practice common interview questions related to AI/ML and technical skills. ✅ Set reminders for application deadlines to ensure timely submissions. ✅ Follow up on your application status after submission to express continued interest. Resume Tailoring & ATS Keywords for AI/ML Intern Optimizing your resume for ATS is crucial for securing the AI/ML Intern position at Tower Research Capital . ATS Keywords to Include AI/ML Intern Python Machine Learning TensorFlow PyTorch MLOps SQL Agentic AI Multi-Agent Systems Git Bash Claude Code Resume Tips for This Role Highlight relevant coursework or projects in AI/ML to demonstrate your practical knowledge. Emphasize any experience with Python and machine learning frameworks, as these are crucial for the role. Include links to your GitHub or portfolio showcasing projects related to AI/ML. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not showcase your skills relevant to this internship. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills or experiences that do not directly relate to AI/ML. How to Apply for AI/ML Intern at Tower Research Capital Apply Now — Tower Research Capital Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the internship requirements. Fill out the application form accurately, highlighting your relevant skills and experiences. After submission, expect a confirmation email and prepare for potential follow-up communications. Track your application status through the portal to stay updated on the hiring process. Applications reviewed on rolling basis — early submission recommended. Apply Now — Tower Research Capital NexisGrow.com does not charge any fees for job applications. Tower Research Capital Tower Research Capital was founded in 1998 and has expanded to include over 1,000 employees . With its headquarters located in New York , the firm operates in major financial hubs worldwide, including Gurgaon, Haryana . This global footprint allows Tower Research Capital to leverage diverse market insights and strategies. The company specializes in quantitative trading strategies and advanced technology platforms, utilizing tools such as TensorFlow and PyTorch . Its focus on Agentic AI and Multi-Agent Systems enhances trading performance, making Tower Research Capital a leader in the financial technology sector. The integration of MLOps further optimizes operational efficiency. Tower Research Capital has received high ratings on Glassdoor, reflecting its collaborative culture and strong commitment to employee development. The firm offers various programs aimed at enhancing skills in Python and other technologies, fostering a supportive environment for growth. This dedication has contributed to a positive workplace atmosphere. Recently, Tower Research Capital has expanded its AI capabilities, investing in new technologies to enhance trading performance. This includes a focus on Claude Code and other innovative solutions. Such initiatives demonstrate the firm's commitment to staying at the forefront of technological advancements in finance. This internship at Tower Research Capital serves as a unique launchpad for freshers, providing exposure to real-world applications of AI/ML in finance. With a focus on practical experience and skill development, interns can build a strong foundation for future career advancements in the technology sector. Company Details Industry Technology Location Gurgaon, Haryana, India Connect With Us Careers Apply Now Website 🔗 job-boards.greenhouse.io Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI/ML Intern at Tower Research Capital? Eligibility Tap to expand + Answer Candidates with Bachelor’s / Master’s / PhD — Ongoing or Completed, or Equivalent Qualification and Fresher experience are eligible. Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, Machine Learning, Agentic AI, Multi-Agent Systems, MCP. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹33,000–₹58,000/month. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Tower Research Capital? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, Machine Learning, Agentic AI, Multi-Agent Systems, MCP. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AI/ML Intern interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Machine Learning, Agentic AI, Multi-Agent Systems, MCP, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Tower Research Capital research, (5) Clear communication. ? What is the work culture like at Tower Research Capital? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Gurgaon Browse all Tech jobs Latest Fresher jobs More jobs at Tower Research Capital Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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