LLM Lead - Python/SQL

About the job :
Role :Spearhead the design, development, and deployment of cutting-edge AI solutions.You will lead a team of AI engineers, collaborate with cross-functional stakeholders, and drive innovation in machine learning, deep learning, and large language model applications.This role demands a strong foundation in AI technologies, hands-on experience in production-grade model deployment, and a strategic mindset to align AI initiatives with business goals.Core Responsibilities :- Architect and implement scalable machine learning and deep learning models from scratch.- Lead the development of information retrieval systems and relevance engineering solutions.- Design and deploy predictive models using advanced ML frameworks.- Transform ML models into robust APIs for seamless integration with enterprise applications.- Guide the team in implementing Retrieval-Augmented Generation (RAG) and vector-based search systems.- Mentor and train AI engineers, fostering a culture of innovation and technical excellence.- Collaborate with product managers, data scientists, and business stakeholders to translate requirements into AI solutions.- Drive the adoption of best practices in model development, testing, and deployment.- Stay abreast of the latest advancements in AI, including LLMs, knowledge graphs, and generative AI.- Evaluate and integrate emerging tools and frameworks such as LangChain and similar technologies.- Lead experimentation and prototyping of new AI capabilities to enhance product features.Technical Skills :- Proficient in Python and SQL- Advanced expertise in ML algorithms, deep learning, and LLMs- Hands-on experience with LangChain or similar frameworks- Skilled in building and tuning models using RAG, vector databases, and knowledge graphs- Experience with cloud AI stacks on Azure, AWS, or Google Cloud- Familiarity with big data ecosystems : Apache Spark, Hadoop, MongoDB- Strong grasp of probability, statistics, and linear algebraRequired Qualifications :- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field- Minimum of 5 years of experience deploying machine learning models into production- At least 4 years of hands-on experience in AI/ML development, with a focus on LLMs and information retrieval- Proven track record of leading AI projects and mentoring technical teams- Excellent problem-solving skills and ability to communicate complex technical concepts clearly