AI ML Lead Engineer

Technology Lead – 8+ yr of exp with 3+ yr of AI/ML relevant experience – Bengaluru/Hyderabad - Hybrid Roles & Responsibilities: · Design and develop cutting-edge AI and ML solutions that address business challenges. · Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. · Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. · Research and stay up to date with the latest AI and ML technologies and best practices. · Mentor and provide guidance to junior AI developers on the team. · Conduct code reviews and ensure code quality, scalability, and performance of AI applications. · Collaborate with data scientists and engineers to preprocess and prepare data for AI models. · Evaluate and select appropriate AI and ML algorithms for specific tasks. · Develop and deploy AI models in a production environment and monitor their performance. · Ensure data privacy and security measures are implemented in AI solutions. Requirements / Qualifications · Education: Bachelor's or master’s in computer science, Data Science, AI, or related field. · Experience: 8+ years of overall IT experience with at least 3+ years in AI/ML, GenAI, or LLM-based solution development. · Programming: Strong skills in Python (Java or similar is a plus). Generative AI Skills: · Large Language Models (LLMs) and prompt engineering. · RAG (Retrieval-Augmented Generation) pipelines design and optimization. · Integration with Vector Databases (e.g., Pinecone, Weaviate, FAISS, Milvus). · Agentic frameworks such as LangChain, LangGraph, LlamaIndex, and other orchestration tools. · Chunking strategies & embeddings optimization for knowledge-intensive applications. · Chatbot development, conversational AI, and enterprise Q&A assistants. · Text-to-SQL models, natural language querying over structured/unstructured data. · PDF/document data extraction pipelines and advanced context retrieval. · Advanced RAG techniques (e.g., query rewriting, multi-vector retrieval, reranking). · Fine-tuning, prompt-tuning, or parameter-efficient tuning of LLMs. Web/UI basics: · Knowledge of HTML, CSS, or React components for simple UI design to integrate GenAI applications. · Experience with Flask or FastAPI for building and deploying AI/ML microservices & APIs. · Data Processing: Pandas, NumPy for preprocessing and manipulation. · Visualization: Matplotlib, Seaborn (for insights/debugging AI workflows). · Databases: SQL & NoSQL; expertise in integrating LLMs with enterprise knowledge bases. · Version Control: Git and collaborative code workflows. · Proven experience in taking 3+ GenAI/AI POCs into production successfully. · Strong programmatic and architectural skills for building scalable, production-ready GenAI applications. · Ability to evaluate, benchmark, and integrate open-source and API-based LLMs (OpenAI, Anthropic, Cohere, LLaMA, Mistral, etc.). · Excellent problem-solving, solutioning, and debugging abilities in fast-paced, evolving AI environments. · Strong communication and leadership skills for guiding teams and partnering with business stakeholders. Nice to have: · Cloud Platforms: AWS, Azure, GCP with specific knowledge of EC2, Lambda, S3 · Deployment knowledge: Basic understanding of application deployment using Docker, REST APIs, or CI/CD pipelines. · Familiarity with agent memory management and autonomous AI agents. · Knowledge of multimodal models (text, image, audio). · Awareness of AI safety, compliance, ethics, and responsible AI practices. Shift Timings: UK Shift (1pm IST to 10pm IST)