Chief Innovation Officer: Machine Learning Applications

4 days ago


Gulbarga, Karnataka, India beBeeMachineLearning Full time ₹ 1,00,00,000 - ₹ 2,50,00,000

Apply advanced machine learning techniques to drive innovation in finance.

We are seeking a collaborative researcher with hands-on experience developing, implementing and optimizing machine learning models. The ideal candidate will thrive on building innovative systems from the ground up, pushing the boundaries of what is possible in quantitative finance.

About the Role

The successful applicant will have a strong background in technology-driven environments and an emphasis on building robust scalable systems. A proven record of driving projects that apply advanced ML techniques to novel data sources is essential.

  • Develop and deploy machine learning models that generate alpha or significantly improve trading strategy performance.
  • Experience with the end-to-end ML lifecycle, from data sourcing and feature engineering to model deployment and monitoring.
Requirements

To be successful in this role, you will need:

  • Proficiency in Python and its data science ecosystem (e.g., pandas, NumPy, scikit-learn).
  • Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) and big data technologies (e.g., Spark, Hadoop).
  • A Ph.D. or M.S. in a quantitative field is a significant advantage.
  • Published research in machine learning, statistics, or a related field is highly regarded.
Benefits

This is an exciting opportunity to join a team of quants and developers who share your passion for innovation and technical excellence. As a collaborative researcher, you will have the chance to work on complex high-stakes problems and contribute to the development of next-generation trading strategies.

About Us

We are a dynamic organization that rewards intellectual curiosity, a passion for innovation and a hunger to stay at the forefront of ML research.



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