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Data Science & Machine Learning Intern

JobsifyAI

Bengaluru | Hyderabad | Mumbai | Chennai | Remote · Onsite Full-time 0-1 years B.E / B.Tech (CS, IT, ECE) / BCA / MCA / B.Sc CS — 2025 or 2026 pass-out Posted 5 months ago💰 Not disclosed
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Must Have Skills

Data Science DegreePython ProgrammingPandasNumPyMachine LearningSQLData VisualizationML ProjectPythonPython-based ML stacksScikit-learnTensorFlowPyTorchHugging FaceCommunication SkillsExploratory data analysis (EDA)Visual dashboardsBusiness problemsData solutionsTensorFlow, PyTorch, Keras, Kaggle, NLP, Computer Vision, Cloud Platforms, MLOps, Docker, Advanced Statistics, Production Data

Preferred Skills

Data Science DegreePython ProgrammingPandasNumPyMachine LearningSQLData VisualizationML ProjectPythonPython-based ML stacksScikit-learnTensorFlowPyTorchHugging FaceCommunication SkillsExploratory data analysis (EDA)Visual dashboardsBusiness problemsData solutionsTensorFlow, PyTorch, Keras, Kaggle, NLP, Computer Vision, Cloud Platforms, MLOps, Docker, Advanced Statistics, Production Data

About the Role

Data Science and AI are no longer the future — they are the present, and companies at every stage are actively building data teams. As a Data Science or ML Intern, you will work with real datasets, build models that actually get tested, and understand the full lifecycle of a machine learning product — from data cleaning to deployment. This is one of the most exciting internship categories on JobsifyAI right now, and demand from companies is growing faster than the supply of qualified candidates.

What You Will Work On

  1. Clean, analyze, and extract insights from real-world datasets — often messy, always interesting
  2. Build and evaluate machine learning models — classification, regression, clustering, NLP, or computer vision depending on team focus
  3. Work with Python-based ML stacks — Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Hugging Face
  4. Develop and present exploratory data analysis (EDA) and visual dashboards
  5. Collaborate with product and engineering teams to understand business problems and translate them to data solutions
  6. Write and optimize SQL queries for data extraction and analysis
  7. Contribute to model deployment or MLOps pipelines where applicable

✅ Must Have

  1. Final year or recent graduate in B.E/B.Tech/B.Sc/M.Sc — CS, IT, Data Science, Statistics, Mathematics, or related field
  2. Strong Python programming skills — comfortable with Pandas, NumPy, and basic ML libraries
  3. Understanding of core ML concepts — supervised/unsupervised learning, model evaluation, overfitting, cross-validation
  4. Working knowledge of SQL for data querying
  5. Exposure to data visualization — Matplotlib, Seaborn, Tableau, Power BI, or similar
  6. At least one completed ML project — even a Kaggle notebook or college project counts

⭐ Nice to Have

  1. Experience with deep learning frameworks — TensorFlow, PyTorch, or Keras
  2. Kaggle participation — profile, competition rank, or published notebooks
  3. Exposure to NLP (Natural Language Processing) or Computer Vision
  4. Familiarity with cloud platforms — Google Colab, AWS SageMaker, GCP Vertex AI
  5. Knowledge of MLOps tools — MLflow, DVC, or basic Docker
  6. Statistics and probability fundamentals above undergraduate level
  7. Any internship or project experience working with production data

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