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.
