Data Science Intern

We are seeking a highly motivated and technically sound AI Intern to help accelerate the next generation of our predictive algorithms and video analysis architectures. In this role, you will transition seamlessly between exploration and execution: parsing complex data, testing frontier machine learning techniques, and translating business hypotheses into robust software assets. You will work on high-impact projects reaching production level infrastructure.

Work Location:

• Remote work within India.

Duration of the paid internship:

• The paid internship will be for six months starting first week of November 2026.
• The working hours are from 9:00 IST to 18:00 IST (Monday to Friday).

Education:

• Currently pursuing MS, MTech or an with B.Tech, or advanced Undergraduate degree in Computer Science, Data Science, Statistics, Mathematics, or a parallel quantitative domain.

Responsibilities:

• Analyze Massive Datasets: Mine, clean, and analyze, high-dimensional user interaction data, identifying latent behavioural structures and transforming noisy signals into highly optimized feature spaces.
• Analyse and Translate data annotations into actionable insights.
• Implement Cutting-Edge Algos: Design, build, and optimize cutting-edge AI/ML models.
• Cross-Functional Collaboration: Serve as the primary connective tissue between core engineering divisions and strategic business units. Translate complex model outputs into transparent operational metrics, ensuring technical decisions strictly align with company KPIs.
• Scale & Deploy: Participate in writing production-ready, clean, and modular code to scale pipelines and model architectures within modern cloud environments.
• Experimentation & Evaluation: Formulate rigorous offline verification frameworks and contribute to online A/B testing methodologies to gauge system performance.

Must-Have Skills:

• Demonstratable skills in AI/ML, specifically Video Analysis algorithms, LLMs.
• Strong grasp of supervised/unsupervised paradigms, loss functions, and bias mitigation.
• Data & Engineering Stack Advanced proficiency in Python and core packages (PyTorch, TensorFlow, Jax, ScikitLearn).

Good to Have Skills:

• Experience handling big data via distributed tools (SQL, PySpark, Polars, Arrow)