AI Engineer

Experience of 4.5-7 years in development and deployment of scalable AI/ML solutions Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering) Design and optimize Retrieval-Augmented Generation (RAG) solutions Manage Databricks workflows, including job and cluster creation also Databricks API Apply data structures and algorithms knowledge, including multiprocessing and optimization techniques Utilize Python libraries (Pandas, Numpy, FastAPI) for data processing and API development Perform SQL optimization and database architecture design (schema creation, normalization, functions, triggers) Deploy and orchestrate AI models using Docker and Kubernetes Collaborate using GitHub for version control and team collaboration Work with cloud platforms for AI solution deployment and management (Azure, GCP, AWS) Utilize PySpark for data processing (optional) Basic understanding of CI/CD pipelines and deployment process