Job description

Job Title: AI/ML Intern , Freshers (0-1)

Job Summary

We are looking for a passionate and motivated AI/ML Intern to join our growing Artificial Intelligence team. This role offers the opportunity to work alongside experienced AI engineers and data scientists on cutting-edge projects involving Generative AI, agentic systems, and machine learning algorithms. As an intern, you will gain hands-on experience in developing, testing, and deploying AI-driven solutions that address real-world business challenges. This is a great opportunity for someone eager to learn, innovate, and contribute to next-generation AI applications.

Key Responsibilities

Support the design, development, and experimentation of AI/ML models, including Generative AI and agent-based systems.
Assist in data preprocessing, model training, evaluation, and performance tuning.
Work with frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, and OpenAI APIs.
Collaborate with senior AI engineers and researchers on projects involving NLP, computer vision, and reinforcement learning.
Contribute to proof-of-concept (PoC) projects and help in preparing technical documentation.
Participate in AI innovation challenges and hackathons to explore new techniques and tools.
Assist in deploying models and integrating them with enterprise applications or APIs.
Stay updated with state-of-the-art AI research and summarize insights for the team.
Ensure ethical, fair, and transparent use of AI models under supervision.

Required Qualifications

Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Strong foundation in machine learning concepts, data structures, and algorithms.
Basic experience or coursework in Generative AI (LLMs, transformers, diffusion models) and ML frameworks (TensorFlow, PyTorch, etc.).
Proficiency in Python and familiarity with common data science libraries (NumPy, Pandas, Scikit-learn, etc.).
Exposure to cloud platforms (AWS, Azure, GCP) is a plus.
Curiosity to explore agentic AI systems and emerging AI technologies.
Excellent analytical, problem-solving, and communication skills.
A proactive attitude and eagerness to learn in a collaborative, fast-paced environment.

Preferred Qualifications

Prior internship, research project, or academic work involving AI/ML or data-driven systems.
Participation in AI hackathons, Kaggle competitions, or open-source AI projects.
Familiarity with MLOps concepts, API integration, or model deployment pipelines.

What You’ll Gain

Hands-on experience working with real-world AI/ML projects under the guidance of industry experts.
Exposure to Generative AI, agentic AI, and enterprise-scale AI solutions.
Opportunity to contribute to innovative projects that impact business decisions.
Mentorship and career growth opportunities in the field of AI/ML engineering.

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