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7 days ago
We are seeking a talented Machine Learning Researcher to join our team in Kalaburagi, India. Our ideal candidate will have hands-on experience developing, implementing, and optimizing machine learning models that can process vast datasets and identify new sources of alpha.
The role requires individuals who thrive on building innovative, scalable systems from the ground up, pushing the boundaries of what is possible in quantitative finance.
Career Path:
- We seek candidates with a career centered on applying machine learning research to practical, real-world challenges, ideally within finance.
- A background in technology-driven environments, with an emphasis on building robust, scalable systems is required.
- A proven record of driving projects that apply advanced ML techniques to novel data sources is essential.
- Measurable contributions to trading team performance through new models or enhancements to existing ones is necessary.
Professional Skills:
- Ability to work in a collaborative environment, bridging the gap between theoretical research and practical, high-performance implementation is essential.
- Experience in communicating complex technical concepts to a diverse team is required.
Technical Prowess:
- Proficiency in Python and its data science ecosystem (e.g., pandas, NumPy, scikit-learn) is necessary.
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) and big data technologies (e.g., Spark, Hadoop) is required.
Qualifications:
- A Ph.D. or M.S. in a quantitative field is highly regarded.
- Published research in machine learning, statistics, or a related field is also valued.
As a Machine Learning Researcher, you will be working with a team of quants and developers to develop next-generation trading strategies using advanced AI, machine learning, and big data techniques.
We encourage international applicants and offer a culture that rewards technical excellence, intellectual curiosity, and a passion for innovation.
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