Senior Quantitative AI Research Scientist

1 day ago


Gurgaon, Haryana, India Graviton Research Capital Full time
Graviton Research Capital

We are seeking a highly skilled and innovative AI Researcher to join our team in Gurgaon. As an expert in machine learning, deep learning, and natural language processing, you will play a crucial role in developing cutting-edge models and algorithms that drive our trading strategies.

In this role, you will be responsible for:

- Conducting state-of-the-art research in machine learning, deep learning, and artificial intelligence, developing new algorithms, models, and techniques.
- Designing and implementing advanced machine learning and deep learning models for various applications, including NLP, time series analysis, and reinforcement learning.
- Collaborating with cross-functional teams to integrate AI models and solutions into production environments.
- Presenting research findings internally and at external conferences, workshops, and journals.

The ideal candidate will have a strong background in AI/ML research and development, with experience in implementing deep learning models and algorithms, particularly in areas such as NLP, time series forecasting, and reinforcement learning. You should also have extensive knowledge of modern deep learning frameworks (TensorFlow, PyTorch, etc.), architectures (CNNs, RNNs, transformers, etc.), and methodologies.

Requirements:

- Bachelor or Ph.D from IITs in Artificial Intelligence, Machine Learning, Computer Science, Electrical Engineering, Mathematics, or a related quantitative field.
- Proven track record in advanced AI/ML research and development.
- Experience in implementing deep learning models and algorithms, particularly in areas such as NLP, time series forecasting, and reinforcement learning.
- Strong understanding of a wide array of machine learning techniques, including supervised and unsupervised learning, neural networks, optimization, statistical methods, and Bayesian learning.
- Proficiency in Python, R, or other relevant programming languages.
- Experience with machine learning libraries such as scikit-learn, Keras, XGBoost, etc.

Salary: ₹20,00,000 - ₹35,00,000 per annum

This is an exciting opportunity to work with a talented team of researchers and engineers to develop innovative solutions that drive the future of algorithmic trading.

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