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

AI Engineer