Lead Artificial Intelligence Engineer - RAG/LLM

<p><p><b>Description :</b></p><br/><p><b>Responsibilities :</b></p><br/><p>- Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering).</p><br/><p>- Design and optimize Retrieval-Augmented Generation (RAG) solutions.</p><br/><p>- Manage Databricks workflows, including job and cluster creation as well as Databricks API.</p><br/><p>- Apply data structures and algorithms knowledge, including multiprocessing and optimization techniques.</p><br/><p>- Utilize Python libraries (Pandas, Numpy, FastAPI) for data processing and API development.</p><br/><p>- Perform SQL optimization and database architecture design (schema creation, normalization, functions, triggers).</p><br/><p>- Deploy and orchestrate AI models using Docker and Kubernetes.</p><br/><p>- Collaborate using GitHub for version control and team collaboration.</p><br/><p>- Work with cloud platforms for AI solution deployment and management (Azure, GCP, AWS).</p><br/><p>- Utilize PySpark for data processing (optional).</p><br/><p><b>Requirements :</b></p><br/><p>- Experience of 6- 10 years in the development and deployment of scalable AI/ML solutions.</p><br/><p>- Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.</p><br/><p>- Basic understanding of CI/CD pipelines and deployment process.</p><br/></p> (ref:hirist.tech)