Job Description

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 Bachelor's 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