Senior Consultant | ML Data-GEN AI | Bengaluru | SAP

We are seeking a skilled and passionate AI/ML Engineer with expertise in Generative AI (Gen AI) to join our dynamic team. The ideal candidate will have hands-on experience working with large language models (LLMs), frameworks like LangChain and LangGraph, and advanced knowledge of RAG (Retrieval-Augmented Generation) and AI agents. The role demands strong programming skills, problem-solving abilities, and the ability to contribute to cutting-edge AI projects. Key Responsibilities: Design, develop, and implement solutions using Generative AI technologies and frameworks such as LangChain and LangGraph,CrewAI Work on projects involving large language models (LLMs), including both Open Source LLMs and Enterprise LLMs like OpenAI. Develop, fine-tune, and deploy LLMs for NLP tasks such as text summarization, translation, question answering, etc. Build and integrate RAG pipelines and AI agents for production-ready solutions. Collaborate with cross-functional teams to deliver scalable AI-driven applications. Manage and version code effectively using Git. Leverage NoSQL databases for unstructured data handling. Stay updated with advancements in AI/ML technologies and propose innovative solutions. Required Skills: Minimum 6 months of hands-on experience with Generative AI, LangChain, and LangGraph. Minimum 2 years of experience in Python programming for AI/ML applications. Working with large language models and NLP pipelines. NoSQL databases (e.g., MongoDB, Cassandra). Practical knowledge of Retrieval-Augmented Generation (RAG) and AI agents. Experience with both open-source and enterprise-grade LLMs. Proficiency in software development, debugging, and testing. Strong communication skills to convey complex ideas effectively. Optional/Preferred Skills: Knowledge of Machine Learning and Deep Learning frameworks like TensorFlow, PyTorch. Experience with Cloud Platforms (Azure, AWS, or SAP). Exposure to DevOps practices and CI/CD pipelines. Familiarity with cloud-based AI/ML solutions and MLOps workflows.

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