India: Intern/Trainee (Software Engineer)
Core
Design, build, and deploy AI/ML models, Generative AI systems, RAG pipelines, and Agentic AI frameworks to solve real-world business problems.
Role type
AI/ML Developer (GenAI & RAG specialist)
Builds
Scalable, production-ready AI applications and GenAI solutions
Domain
Artificial Intelligence / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch/TensorFlow, LangChain, Transformers, LLMs (OpenAI, LLaMA, Mistral), embeddings, prompt engineering, vector databases (Pinecone, FAISS, Weaviate, Milvus), Azure AI services, MLOps (MLflow, Docker, Kubernetes)
Preferred skills
NLP, Computer Vision, Multi-modal AI, knowledge graphs, edge AI deployments, open-source contributions
Technologies
Azure AI, AWS Sagemaker, GCP Vertex AI, LangChain, AutoGen, CrewAI, Semantic Kernel, MLflow, Docker, Kubernetes, Pinecone, FAISS, Weaviate, Milvus
Responsibilities
Design and deploy AI/ML models for classification, prediction, and optimization; Develop GenAI solutions including LLMs and fine-tuning; Build RAG pipelines integrating vector databases and knowledge graphs; Implement Agentic AI workflows for automation and reasoning; Optimize ML pipelines for scalability and cost efficiency in cloud/edge environments; Collaborate with cross-functional teams; Integrate latest AI/ML research and best practices
Seniority
Mid-level (2–5 years experience)
