AI/ML Intern (Generative AI & Machine Learning)
6 months Internship+ Full Time job
Joining: Immediate only
📌 About the Role
We are looking for highly motivated AI/ML Interns who are passionate about Machine Learning, LLMs, and real-world AI development. Interns will work closely with senior Data Scientists on building production-grade GenAI applications, recommendation systems, RAG-based chatbots, and predictive models.
📌 Eligibility Criteria (Important Conditions)
1. Candidates must have completed their graduation.
2. Candidates must NOT be associated with any other company, project, or internship.
3. Candidates must NOT be working full-time anywhere else (no notice period required).
4. Candidates should be able to join immediately without delay.
📌 Required Skills
1. Strong understanding of Python and ML libraries (NumPy, Pandas, Scikit-learn, etc.)
2. Basics of NLP, embeddings, and vector databases
3. Understanding of LLMs (ChatGPT, Gemini, Llama, etc.)
4. Familiarity with frameworks like LangChain (optional but preferred)
5. Knowledge of model building, training, evaluation, and deployment concepts
6. Hands-on experience with at least one AI/ML project
📌 Key Responsibilities
1. Assist in building and fine-tuning ML models
2. Work on LLM-based applications, chatbot development, and prompt engineering
3. Implement RAG pipelines using vector embeddings
4. Build and evaluate recommendation system models
5. Conduct model validation, testing, and documentation
6. Support deployment of AI solutions using APIs and cloud platforms
7. Collaborate with senior engineers and contribute to real-time projects
📌 What You Will Learn
1. End-to-end AI product development lifecycle
2. Building enterprise-grade chatbots with LangChain + LLMs
3. Vector search, embeddings, and retrieval frameworks
4. Recommendation algorithm design
5. Sentiment analysis automation
6. Working with APIs, model deployment, and cloud workflows
How to Apply
Send your updated resume (with relevant AI/ML projects) to rakshita.prabhu@syngrowconsulting.com




