Intern Data & AI

Machine Learning Intern Data & AI Practice

Job Title

Machine Learning Intern

Department

Data & AI Practice

Location

Pune / Remote / Hybrid

Duration

36 Months (Extendable based on performance)

Role Overview

We are looking for a highly motivated Machine Learning Intern to join our Data & AI Practice. The intern will work closely with Data Scientists AI Engineers and Solution Architects to develop test and deploy machine learning models and AI-driven solutions. This role provides an excellent opportunity to gain hands-on experience with real-world datasets modern AI technologies and enterprise-scale data platforms.

Key Responsibilities

• Assist in data collection cleansing preprocessing and exploratory data analysis.
• Develop and evaluate machine learning models for classification regression clustering and forecasting use cases.
• Support the implementation of Generative AI and Large Language Model (LLM) solutions.
• Work with structured and unstructured datasets to derive actionable insights.
• Perform feature engineering and model optimization activities.
• Create data visualizations and dashboards to communicate findings effectively.
• Collaborate with project teams to understand business requirements and translate them into AI/ML solutions.
• Participate in model testing validation and performance monitoring.
• Document methodologies experiments and project outcomes.
• Stay updated with emerging trends and advancements in AI Machine Learning and Data Science.

Required Qualifications

• Pursuing or recently completed a Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence Statistics Mathematics Information Technology or a related field.
• Strong understanding of Machine Learning fundamentals and statistics.
• Knowledge of Python programming.
• Familiarity with data manipulation libraries such as Pandas and NumPy.
• Basic understanding of machine learning frameworks such as Scikit-learn TensorFlow or PyTorch.
• Understanding of SQL and database concepts.
• Good analytical and problem-solving skills.
• Strong communication and teamwork abilities.

Preferred Skills

• Exposure to Generative AI LLMs Prompt Engineering or Retrieval-Augmented Generation (RAG).
• Familiarity with cloud platforms such as Microsoft Azure Amazon Web Services AWS or Google Cloud Google Cloud.
• Experience with data visualization tools such as Power BI or Tableau.
• Knowledge of Databricks Spark or MLOps concepts.
• Experience with Git version control.

Learning Opportunities

• Work on real-world AI and Machine Learning projects.
• Gain exposure to enterprise Data Engineering and AI platforms.
• Learn from experienced Data Scientists and AI Architects.
• Participate in innovation initiatives PoCs and AI accelerators.
• Build expertise in modern AI technologies including GenAI and Agentic AI solutions.

Success Criteria

• Ability to independently analyze datasets and build basic ML models.
• Demonstrate strong learning agility and problem-solving skills.
• Deliver assigned tasks within agreed timelines and quality standards.
• Contribute innovative ideas to ongoing AI initiatives.

Required Experience:

Intern