AI/ML Engineer Intern

Compensation: No equity

We're Hiring | AI/ML Engineer Intern

Lupira Industries Pvt. Ltd.

Job Location: Noida, Uttar Pradesh / Remote
Experience: Fresher / Students with relevant project experience
Internship Duration: 4 Months
Employment Type: Full-Time Internship
Openings: 2
Stipend: Unpaid

About Lupira Industries

Lupira Industries Pvt. Ltd. is a technology-driven company focused on building innovative software products and intelligent solutions powered by Artificial Intelligence, Machine Learning, and emerging technologies.

We are looking for passionate and technically strong AI/ML Engineer Interns who are enthusiastic about exploring, researching, developing, training, fine-tuning, and deploying advanced AI systems.

The ideal candidate should have a strong foundation in AI/ML and hands-on experience with modern AI technologies, including Generative AI, Large Language Models, Deep Learning, Agentic AI, Computer Vision, NLP, and intelligent automation.

Key Responsibilities

• Research, develop, train, and implement advanced AI/ML models.
• Build and fine-tune Large Language Models (LLMs) and Generative AI applications.
• Develop intelligent AI agents, autonomous workflows, and multi-agent systems.
• Design and implement advanced RAG pipelines and knowledge-based AI systems.
• Work on NLP, Computer Vision, Speech AI, and Multimodal AI applications.
• Experiment with open-source models and emerging AI architectures.
• Optimize models for performance, accuracy, latency, and scalability.
• Deploy AI models and integrate them into production-ready applications.
• Conduct model evaluation, benchmarking, testing, and research.
• Collaborate with the engineering team to develop real-world AI-powered products.

Required Technical Skills

1. Programming & Data Science

• Advanced Python programming.
• NumPy, Pandas, SciPy, and Scikit-learn.
• Data preprocessing, feature engineering, and statistical analysis.
• SQL, Git, GitHub, and Linux fundamentals.

2. Machine Learning & Deep Learning

• Supervised and Unsupervised Learning.
• Regression, Classification, Clustering, and Recommendation Systems.
• Neural Networks, CNN, RNN, LSTM, and Transformers.
• PyTorch and/or TensorFlow.
• Model training, evaluation, and hyperparameter optimization.

3. Generative AI & LLM Engineering

• GPT, Claude, Gemini, Llama, Mistral, Qwen, and other LLMs.
• Hugging Face Transformers, Datasets, and Model Hub.
• Prompt Engineering and Context Engineering.
• Fine-Tuning, SFT, LoRA, and QLoRA.
• Quantization and model optimization.
• LLM evaluation and hallucination reduction.

4. Agentic AI & RAG

• LangChain and LangGraph.
• AI Agents and Multi-Agent Systems.
• Tool Calling, Function Calling, and MCP.
• RAG architecture and advanced retrieval techniques.
• Embeddings, Semantic Search, Hybrid Search, and Reranking.
• Vector Databases: FAISS, Qdrant, Pinecone, ChromaDB, or Weaviate.

5. NLP, Computer Vision & Multimodal AI

• Natural Language Processing and Text Intelligence.
• OpenCV, YOLO, OCR, and Image Recognition.
• Vision Transformers and Vision-Language Models.
• Speech-to-Text and Text-to-Speech.
• Whisper, Audio Processing, and Voice AI.
• Multimodal AI model integration.

6. Advanced AI Research

• Reinforcement Learning fundamentals.
• RLHF and PPO fundamentals.
• Model architecture experimentation.
• Distributed and GPU-based model training.
• Research and implementation of emerging AI technologies.

7. AI Deployment & MLOps

• FastAPI and Flask.
• REST API development and integration.
• Docker and containerization.
• AWS or other cloud platforms.
• Model serving and inference optimization.
• MLflow and Weights & Biases.
• vLLM, Ollama, llama.cpp, or similar inference frameworks.
• Model monitoring, scalability, and production deployment.

Eligibility & Qualifications

• B.Tech / B.E. / M.Tech in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related disciplines.
• Strong understanding of AI/ML and Deep Learning fundamentals.
• Strong Python programming and analytical skills.
• Hands-on experience developing AI/ML projects.
• Ability to independently research, experiment, and implement AI solutions.
• Passion for learning new AI technologies and solving complex technical problems.

Preferred Qualifications

• Strong GitHub portfolio showcasing AI/ML projects.
• Hugging Face profile with models, datasets, or contributions.
• Experience training or fine-tuning open-source AI models.
• Experience deploying AI applications or models.
• Participation in AI/ML hackathons, research projects, or Kaggle competitions.

What We Offer

• Opportunity to work on real-world AI-powered products.
• Hands-on exposure to advanced AI/ML technologies.
• Opportunity to build and deploy production-level AI solutions.
• Learning and mentorship from the engineering team.
• Exposure to emerging AI research and open-source ecosystems.
• Internship Certificate upon successful completion.
• Letter of Recommendation based on performance.

Application Process

Interested candidates are requested to share:

• Updated Resume.
• GitHub Profile.
• Hugging Face Profile (if available).
• Portfolio of AI/ML projects.
• Brief description of models or AI applications they have developed.

Email: hr@lupira.in
Website: https://www.lupira.in

Join Lupira Industries and Build the Next Generation of Intelligent AI Solutions.