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AI/ML Intern

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Onsite

AI/ML Intern

HSM Edifice Construction Services

AI/ML Intern

Skills

Google Cloud PlatformSQL QueriesPythonData ScienceData VisualizationNumPypandasPyTorchTensorFlowMachine LearningAIAWSGitHubNLP / Natural Language ProcessingAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹96,000 / year

Location:

Nagpur, Maharashtra, India

Work mode:

Onsite

Published on:

29 September 2026

What they need


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 useful findings internally

Required Skills

  • Strong 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

Good 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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