KEY RESPONSIBILITIES o Design build and deploy end-to-end Generative AI applications using LLMs vision-language models and multimodal AI o Proficiency in Python with strong experience using GenAI LLM frameworks such as LangChain LlamaIndex CrewAI or HuggingFace Transformers o Develop applications using OpenAI Azure OpenAI or custom-deployed open-source models e g LLaMA DeepSeek Mistral o Create and manage agent-based architectures for task orchestration using frameworks like AutoGen CrewAI or Semantic Kernel o Implement Retrieval-Augmented Generation RAG systems using FAISS Weaviate or Azure Cognitive Search o Work with document loaders chunking strategies vector embeddings and prompt engineering techniques for optimal model performance o Build and deploy AI-powered apps using FastAPI backend React Streamlit Gradio frontend and PostgreSQL or vector DBs Pinecone Qdrant o Design and operationalize GenAI workflows using Docker Kubernetes and MLOps tools e g MLFlow Azure ML o Integrate AI with cloud-native services e g Azure Functions EventHub Cosmos DB OneLake Azure Fabric o Continuously improve model accuracy and relevance through fine-tuning prompt tuning and response evaluation techniques o Ensure alignment of GenAI solutions with product goals and compliance with security governance and data privacy standards o Evaluate trade-offs across different model providers OpenAI Azure Anthropic open-source based on latency cost accuracy and IP risk o Collaborate with cross-functional teams including Product Data Engineering and QA to ensure robust deployment of GenAI features o Implement logging monitoring and feedback loops to support performance tuning and hallucination mitigation PROFESSIONAL EXPERIENCE QUALIFICATIONS o Bachelor s degree in Computer Science AI ML Data Science or related field o 5-7 years of experience in AI ML Engineering with at least 1-2 years focused on Generative AI solutions o Solid understanding of large language models embeddings tokenization and attention mechanisms o Experience with GenAI deployment in enterprise environments using tools like Azure OpenAI HuggingFace or Ollama o Deep knowledge of prompt engineering function calling system prompts and guardrail frameworks o Familiarity with real-time data pipelines vector search and integrating AI agents with enterprise APIs o Experience building and managing containerized workloads Docker Kubernetes o Strong problem-solving skills and ability to design scalable production-grade GenAI solutions About Regal Rexnord Regal Rexnord is a publicly held global industrial manufacturer with 30 000 associates around the world who help create a better tomorrow by providing sustainable solutions that power transmit and control motion The Company s electric motors and air moving subsystems provide the power to create motion A portfolio of highly engineered power transmission components and subsystems efficiently transmits motion to power industrial applications The Company s automation offering comprised of controls actuators drives and precision motors controls motion in applications ranging from factory automation to precision control in surgical tools The Company s end markets benefit from meaningful secular demand tailwinds and include factory automation food beverage aerospace medical data center warehouse alternative energy residential and commercial buildings general industrial construction metals and mining and agriculture Regal Rexnord is comprised of three operating segments Industrial Powertrain Solutions Power Efficiency Solutions and Automation Motion Control Regal Rexnord has offices and manufacturing sales and service facilities worldwide For more information including a copy of our Sustainability Report visit RegalRexnord com

📌 Gen Ai Engineer (Hyderabad)
🏢 Regal Rexnord
📍 Hyderabad