This position is not available in GPP database. Talent Acquisition team member will fill in the Posting description after intake meeting.

This position is not available in GPP database. Talent Acquisition team member will fill in the Posting description after intake meeting.

Key Responsibilities
- Data Prep: Clean, process, and analyze raw datasets to prepare them for modeling.
- Model Training: Assist in developing and fine-tuning ML models (classification, regression) and modern AI systems (NLP/LLMs).
- Evaluation: Track performance metrics (F1-score, AUC-ROC) and optimize model accuracy.

Required Skills & Qualifications
- Eligibility: Final year (4th Year) B.Tech student in CS, IT, Data Science, or a related engineering stream.
- Coding: Strong Python skills and experience with Pandas, NumPy, and Scikit-Learn.
- Frameworks:



Hands-on project experience with PyTorch or TensorFlow.
- Databases: Solid understanding of SQL for data extraction.
- Core Theory: Good grasp of data structures, algorithms, probability, and statistics.

Nice-to-Haves
- Experience with LLMs, Hugging Face, or LangChain.
- Git/GitHub version control and Docker basics.

What You Get
- Direct mentorship from experienced AI engineers.
- Pre-Placement Offer (PPO) potential based on performance.

Job Systems/Information Technology

Organization Cummins Inc.

Role Category On-site with Flexibility

Job Type

ReqID 2431515

100% In office No

📌 Student - It (Pune)
🏢 Cummins
📍 Pune