ML Internship By Tower Research Capital
ML Internship By Tower Research Capital
Tower Research Capital, founded in 1998 by Mark Gorton, is a leading trading and technology firm known for building some of the fastest, most sophisticated electronic trading platforms globally. With a unique organizational structure, Tower's independent trading teams operate autonomously while benefiting from shared resources like hardware, software, connectivity, and support in areas such as business management, legal, compliance, and risk management.
At the core of Tower's operations is a highly skilled engineering team responsible for the architecture, implementation, and optimization of the trading platform. Their tasks include developing systems for market data access, trend analysis, trading simulations, order management, and real-time trade support, among others.
Documents Required
Applicants submit the following documents:
  • Resume/CV
  • Valid Email ID
  • Mobile No.
  • Study Mark Sheets
  • Certificates (If you have)
  • Cover letter (If applicable)
  • Eligibility Criteria
    Applicants must meet the following criteria:
  • Educational Background: Bachelor's, master's, or PhD (ongoing or complete) from a reputed university. Availability for a full-time, in-office summer internship from May 2025.
    Technical Skills:
  • Proficiency in training, building, and deploying machine learning models using TensorFlow, PyTorch, or similar frameworks.
  • Experience with CI/CD pipelines and MLOps for automating model deployments.
  • Competency in using Linux, SQL, Git, and BASH scripting.
  • Strong programming skills in Python.
    Note: This internship is exclusively available in India. Specifically, in Gurgaon (Haryana).
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    List of Benefits
  • Stipend: Competitive and rewarding.
  • Meals: Breakfast, lunch, dinner, and snacks available daily.
  • Transportation: Cab facility within Gurgaon for easy commuting.
  • Responsibilities
    As an intern, you will:
  • Develop data pipelines for cleaning, collecting, processing, and analyzing diverse datasets.
  • Design and implement machine learning models and NLP models based on large language models (LLMs).
  • Conduct experiments and tests to evaluate model performance.
  • Optimize and fine-tune existing machine learning models for improved results.
  • How To Apply
    Follow the below steps to apply for the program:
    1. Visit Our Official Website.
    2. Read carefully all the information about the program details.
    3. Click on the "Register" to complete the registration with required details.
    4. After successful registration, Use the received credentials to log into your account.
    5. Once logged in, Click on the "Apply" button.
    6. You will be directed to the application form. Fill in all the required details accurately.
    7. Prepare the necessary documents as specified in the application requirements.
    8. Upload these documents in the designated sections of the application form.
    9. Before submitting, review all the information you have provided.
    10. After that, Click on the "Submit” button to submit your application.
    Note: "As a free user,"
    →'You're encouraged to share this valuable information with your friends to access the link properly'.

    Stipend

    ML Internship By Tower Research Capital
    SCHOLARSHIP PROVIDER
    Tower Research Capital
    APPLICATION DEADLINE
    25 November
    EDUCATION LEVEL
    Bachelors
    Masters
    PHD
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    Tower Research Capital, founded in 1998 by Mark Gorton, is a leading trading and technology firm known for building some of the fastest, most sophisticated electronic trading platforms globally. With a unique organizational structure, Tower's independent trading teams operate autonomously while benefiting from shared resources like hardware, software, connectivity, and support in areas such as business management, legal, compliance, and risk management.
    At the core of Tower's operations is a highly skilled engineering team responsible for the architecture, implementation, and optimization of the trading platform. Their tasks include developing systems for market data access, trend analysis, trading simulations, order management, and real-time trade support, among others.