LLM Lead
5 days ago
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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