Programme Overview: The AI/ML Internship provides an immersive opportunity to work on machine learning models, statistical pattern recognition, and artificial intelligence solutions. Interns assist data science teams in data preprocessing, feature engineering, model training, evaluation, and pipeline deployment for practical business applications.

Key Responsibilities:

· Clean, transform, and preprocess structured and unstructured data pipelines for machine learning modeling.

· Assist in training, evaluating, and fine-tuning classification, regression, and clustering algorithms.

· Implement deep learning architectures using PyTorch and TensorFlow for computer vision or natural language processing tasks.

· Perform hyperparameter tuning and model optimization to enhance precision, recall, and overall model accuracy.





· Document model performance benchmarks, evaluation metrics, and exploratory data analysis findings.

· Support the deployment of trained ML models into production API endpoints using FastAPI or MLflow.

Technical Tools & Technologies

· Python

· PyTorch

· TensorFlow

· Scikit-Learn

· Pandas

· NumPy

· OpenCV

· Jupyter Notebooks

· Hugging Face

· MLflow

Learning Outcomes

· Gain practical understanding of the end-to-end ML lifecycle.

· Master neural network architectures and data preprocessing methodologies.

· Understand model productionization standards.

Perks:

- Flexible schedule

Work Location: In person

📌 Artificial Intelligence and Machine Learning (AI/ML) Intern (Thane)
🏢 WakeUpSkills
📍 Thane