LLM Lead

7 days ago

Bengaluru, Karnataka, India Zorba Consulting Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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 algebra

Required 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

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