Position: IT Intern (AI & ML)

Internship Duration: 6 Months

Stipend: 8,000 per month

Department: Information Technology (IT)

Location: Hingna, Nagpur

Reporting To: IT Manager / Senior IT Executive

About the Role

We're looking for AI/ML interns to work alongside our engineering team on [production ML systems / LLM-powered features / computer vision pipelines pick what's true]. This is a hands-on role: you'll own small pieces of real projects end to end, not shadow someone else's work. You'll get regular code reviews, a dedicated mentor, and exposure to how models actually get shipped and maintained.

Key Responsibilities
Build, train, and evaluate machine learning models for [use case — e.g. recommendation, document extraction, forecasting]
Clean, preprocess, and analyse datasets; handle missing data, class imbalance, and feature engineering
Run experiments, track results, and present findings clearly to the team
Fine-tune or prompt-engineer LLMs and integrate them into application workflows
Write clean, documented Python code and collaborate via Git
Assist with deploying models and monitoring their performance post-release
Stay current with relevant research and share practical findings internally

Required Skills




Robust Python fundamentals
Working knowledge of ML concepts: supervised/unsupervised learning, model evaluation metrics, overfitting and regularisation
Familiarity with at least one of: TensorFlow, PyTorch, or scikit-learn
Comfort with NumPy, Pandas, and basic data visualisation
Solid grounding in statistics and linear algebra
Ability to read documentation and debug independently

Valuable to Have
Projects or coursework involving NLP, computer vision, or generative AI
Exposure to LLM APIs, LangChain, or vector databases
Git, SQL, or basic cloud experience (AWS/GCP/Azure)
Kaggle participation, published notebooks, or an active GitHub
A research paper, hackathon win, or open-source contribution

Eligibility
Pursuing or recently completed B.E./B.Tech/M.Tech/MCA/M.Sc in CS, IT, Data Science, Statistics, or a related field
[Year of passing: 2025 / 2026 batch]
Available to work 8 hours per week for the full [6]-month duration

What You'll Get
Real ownership of features that reach users
1:1 mentorship from senior ai engineers
Certificate and letter of recommendation on completion

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