Machine learning researcher | bangalore, india
1 week ago
Location: Bangalore, IndiaDomain Focus: AI-Driven Algorithmic Trading, Deep Learning for Time Series Analysis Experience: 3+ years of experience in ML research for financeInternational Talent: Yes, international applicants are encouragedThese roles are for technologists at heart, ML researchers eager to harness technology to transform traditional finance.We’re seeking professionals in Bangalore who can apply advanced techniques in AI, machine learning, and big data to develop next-generation trading strategies. The opportunity is to be at the center of India’s technological heartland, creating models that can scale and deliver a competitive edge in a rapidly evolving market.???? The Profile – Your Expertise The ideal candidates will have hands-on experience developing, implementing, and optimizing machine learning models that can process vast datasets and identify new sources of alpha. The roles we recruit for require individuals that thrive on building innovative, scalable systems from the ground up, pushing the boundaries of what is possible in quantitative finance.Career Path:Career centred on applying machine learning research to practical, real-world challenges, ideally within finance.Background in technology-driven environments, with an emphasis on building robust, scalable systems.Proven record of driving projects that apply advanced ML techniques to novel data sources.Measurable contributions to trading team performance through new models or enhancements to existing ones.Projects And Performance:Successfully developed and deployed machine learning models that generated alpha or significantly improved trading strategy performance.Experience with the end-to-end ML lifecycle, from data sourcing and feature engineering to model deployment and monitoring.Professional Skills:Ability to work in a collaborative environment, bridging the gap between theoretical research and practical, high-performance implementation.Experience in communicating complex technical concepts to a diverse team.Technical Prowess:Proficiency in Python and its data science ecosystem (e.g., pandas, Num Py, scikit-learn).Hands-on experience with deep learning frameworks (Tensor Flow, Py Torch) and big data technologies (e.g., Spark, Hadoop).Qualifications, Licenses And Academic Achievements: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.???? Who You Are And What We NeedA collaborative researcher who can seamlessly integrate with a team of quants and developers.Fits a culture that rewards technical excellence, intellectual curiosity, and a passion for innovation.A self-motivated individual with an innate drive to solve complex, high-stakes problems with technology.A mindset of continuous learning, a hunger to stay at the forefront of ML research, and an ability to adapt to new technologies.If you're ready to lead with conviction and build something enduring, we want to hear from you.Apply Above Or Connect Directly: | conversations are always welcome (if concerned contact us directly)
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