AI & Machine Learning Intern

About the role

We are looking for a passionate AI Engineer to help us build the next generation of intelligent, autonomous systems. In this role you will design and deploy advanced AI systems that power automation, enable data-driven insights, and scale decision-making. You will work closely with product and engineering teams to bring real-world AI applications to life. Key Responsibilities • Design and implement agentic AI systems for various business applications • Work with vector databases (such as Pinecone and Weaviate) for efficient similarity search and data retrieval • Fine-tune large language models (LLMs) and machine learning models for specific use cases • Build and maintain ML pipelines, including data processing and model optimization • Develop and deploy scalable AI solutions on cloud platforms such as AWS or Azure • Collaborate with cross-functional teams to integrate AI capabilities into real-world products

What we're looking for

Required Skills • Strong understanding of machine learning concepts and model architectures • Knowledge of vector databases and embedding-based retrieval systems • Experience working with agentic AI or autonomous AI workflows • Proficiency in Python and ML frameworks such as TensorFlow or PyTorch • Experience with cloud platforms (AWS, Azure, or similar) • Solid mathematical and analytical foundations Good to Have • Experience with LLM fine-tuning techniques (LoRA, RLHF, instruction tuning) • Familiarity with RAG (Retrieval-Augmented Generation) architectures • Experience with LangChain, LlamaIndex, or similar AI orchestration tools • Knowledge of distributed training or model optimization techniques • Experience deploying AI services using Docker, Kubernetes, or serverless platforms