Job Description & How to Apply Below
Gurgaon
Mode:
Work From Office (WFO)
Duration: 6 months (extendable based on performance)
About the Role
We are looking for a motivated Data Science Intern to support our AI, analytics, and automation initiatives. The
ideal candidate should have strong analytical skills, hands-on experience with Python/ML basics, and a
willingness to explore advanced AI workflows.
Key Responsibilities (KRAs)
1. Build and maintain deep learning models for analytical, forecasting, and predictive use cases.
2. Develop Agentic AI workflows and automation pipelines to enhance productivity and system efficiency.
3. Perform data cleaning, preprocessing, and feature engineering to prepare high-quality datasets.
4. Collaborate with cross-functional teams to deliver data-driven solutions aligned with business needs.
Requirements
Strong understanding of Python, Machine Learning, and basic Deep Learning (Tensor Flow/PyTorch).
Good knowledge of data preprocessing, EDA, and feature engineering.
Familiarity with LLMs, agent-based systems, or automation pipelines (bonus).
Experience with SQL and basic data structures.
Ability to work in a fast-paced team environment and learn quickly.
Good to Have
Prior academic/industry ML projects (NLP, LLMs, automation, etc.).
Knowledge of cloud platforms (AWS/GCP/Azure).
Exposure to MLOps or workflow orchestration tools.
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