Intern Data Science

Key Responsibilities

• Support the design development and testing of Data Science and AI solutions under the guidance of senior team members
• Assist in data collection preprocessing cleansing and exploratory data analysis activities
• Contribute to the development of Machine Learning and Deep Learning models for business use cases
• Support Generative AI initiatives including prompt engineering document processing embeddings and Retrieval Augmented Generation (RAG) pipelines
• Assist in developing and testing AI-powered applications and APIs
• Participate in experimentation model evaluation and performance analysis activities
• Support the implementation of basic MLOps and LLMOps practices including model tracking versioning and monitoring
• Collaborate with Data Engineers Software Engineers QA teams and business stakeholders during project execution
• Prepare technical documentation reports presentations and demo materials related to AI/ML solutions
• Stay updated with emerging trends and technologies in AI Machine Learning Generative AI and Agentic AI

Person Specifications

Qualifications

• Currently pursuing or recently completed a Bachelors degree in data science IT/Computer Science/Engineering Software Engineering Statistics Mathematics or a related field

Technical Expertise

• Basic understanding of Machine Learning and Deep Learning concepts
• Awareness of Generative AI and Large Language Models (LLMs) including prompt engineering and RAG concepts
• Basic understanding of Agentic AI concepts and AI orchestration frameworks is an added advantage
• Familiarity with Python programming and common libraries/frameworks such as Pandas NumPy Scikit-learn TensorFlow or PyTorch
• Understanding of APIs REST services and basic software development practices
• Basic knowledge of databases SQL and data processing concepts
• Familiarity with Git/version control systems is an advantage
• Exposure to cloud platforms (AWS Azure or GCP) is an added advantage
• Awareness of MLOps/LLMOps concepts is desirable but not mandatory

Soft Skills & Attributes

• Strong analytical and problem-solving skills
• Willingness to learn new technologies and adapt quickly in a fast-paced environment
• Good communication and teamwork skills
• Ability to work independently with guidance from mentors and senior team members
• Passion for AI Data Science and emerging technologies