JD - AI/ML Internship
Required Experience: 0–6 Months
Work Mode: Onsite
Location: Arekere, Bangalore
Stipend: ₹10,000 (Fixed)
Only candidates who can complete the full 6-month engagement should apply.
Bangalore-based candidates may apply
Immediate joiners preferred
Job Summary:
We are looking for a quick-learning AI/ML Intern skilled in Python ecosystems and core ML concepts. Collaborate on impactful projects involving supervised/unsupervised learning to gain hands-on expertise and certification potential.
Must have skills & tools:
· Proficiency in Python programming.
· Strong grasp of data manipulation and analysis with NumPy and Pandas.
· Data visualization using Matplotlib (or similar libraries like Seaborn).
· Understanding of supervised learning (e.g., regression, classification) and unsupervised learning (e.g., clustering, dimensionality reduction).
· Experience with AI/ML-related projects (e.g., predictive modeling, image classification).
· Familiarity with AI tools like Jupyter Notebook, Scikit-learn, or TensorFlow basics.
Good to have:




· Knowledge of deep learning frameworks (e.g., Keras, PyTorch).
· Version control with Git.
· Cloud platforms for ML (e.g., AWS SageMaker, Google Colab).
· Basic statistics and linear algebra.
Responsibilities:
· Collaborate with the AI/ML team to develop and test machine learning models.
· Clean, preprocess, and analyze datasets using Python, NumPy, and Pandas.
· Build supervised and unsupervised learning models for tasks like prediction and clustering.
· Create insightful visualizations with Matplotlib to communicate results.
· Work on end-to-end AI projects, from data ingestion to model deployment.
· Experiment with AI tools and frameworks to prototype solutions.
· Participate in code reviews, debugging, and model optimization.
· Document projects and learn emerging AI technologies in a fast-paced setting.
· Assist in deploying models on cloud platforms.

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