Research Data Scientist

Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, Computational Science, or a related discipline.

Bachelor’s/Master’s degree from IITs, NITs, or other premier engineering/research institutions is strongly preferred.

4–7 years of hands-on research experience in AI/ML, Data Science, NLP, Generative AI, LLMs, or related areas.

Strong demonstrated research experience with the ability to independently formulate research questions, design experiments, analyze results, and communicate findings.

Demonstrated research track record through research publications, patents, conference presentations, open-source contributions, or significant AI/ML research projects.

Candidates with publications in reputed conferences/journals and a strong academic/research profile will be preferred

Strong proficiency in Python and SQL.

Strong hands-on experience with NumPy, Pandas, Scikit-learn, and preferably PyTorch/TensorFlow.

Strong understanding of: Machine learning algorithms Statistics and experimentation Data analysis and feature engineering Model evaluation and performance metrics Hypothesis testing and statistical inference

Machine learning algorithms

Statistics and experimentation

Data analysis and feature engineering

Model evaluation and performance metrics

Hypothesis testing and statistical inference

Hands-on exposure to LLMs, NLP, Generative AI, and multimodal AI.

Experience with one or more of RAG, LLM evaluation, prompt engineering, fine-tuning, SFT, RLHF/DPO, embeddings, or model benchmarking.

Experience working with large-scale structured and unstructured datasets.

Familiarity with Git and cloud platforms such as AWS, Azure, or GCP is desirable.

The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications.

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