Position: Lead AI/ML Engineer Location: Bangalore Employment Type: Full-time About the Role We are seeking a highly skilled AI/ML Engineer with deep expertise in designing, developing, and deploying machine learning and generative AI solutions. The ideal candidate will have extensive hands-on experience with modern ML frameworks, LLMs, and RAG architectures, and be capable of building scalable, production-ready AI systems. Key Responsibilities • Design, develop, and implement end-to-end AI/ML models and solutions for complex business problems. • Work extensively with LLMs, Generative AI, and Retrieval-Augmented Generation (RAG) architectures. • Build and optimize ML pipelines using frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. • Leverage vector databases (e.g., FAISS, Pinecone, ChromaDB) for efficient similarity search and data retrieval. • Integrate LangChain or LlamaIndex for developing intelligent, context-aware applications. • Deploy, monitor, and maintain ML models on AWS, GCP, or Azure environments. • Research and apply cutting-edge NLP, deep learning, and machine learning algorithms. • Collaborate with cross-functional teams including data engineers, software developers, and product managers to deliver AI-driven solutions. • Continuously evaluate and improve existing AI/ML models and workflows. Required Skills • Bachelor's degree in engineering or relevant field • 7+ years of hands-on experience in Machine Learning and AI development. • Strong proficiency in Python and familiarity with major ML frameworks (TensorFlow, PyTorch, Hugging Face). • Proven experience with LLMs, Generative AI, and RAG-based solutions. • Working knowledge of vector databases such as FAISS, Pinecone, or ChromaDB. • Strong understanding of ML algorithms, deep learning architectures, and NLP techniques. • Experience deploying models on cloud platforms (AWS, GCP, Azure). • Familiarity with LangChain or LlamaIndex for LLM-based application development (preferred) • Expertise in ETL/ELT Tools and Data Warehousing • Strong Programming and Scripting Proficiency to build data pipelines • Experience with Big Data Technologies like Apache Spark and Cloud Platforms services like S3, Data Factory, EMR, HDInsight, Dataflow • Excellent problem-solving and analytical skills. • Ability to work in a dynamic, fast-paced environment with minimal supervision.