
Overview
Strong proficiency in Python for data processing and automation. Ability to write efficient and well-structured code.
Experienced with generative AI models and their integration into data workflows.
Experienced with prompt engineering and LLM models (Opensource and licensed. Ex Llama, OpenAI)
Experienced with Application development framework like LangChain or similar frameworks.
Experienced working with REST frameworks like Fast API, Flask and Django.
Good understanding of machine learning workflows and deployment.
Knowledge of ETL processes, data modeling, and data warehousing principles.
Familiarity with containerization and orchestration tools (Docker, Kubernetes).
Familiarity with Snowflake for data warehousing and analytics.
Experienced with cloud platforms (AWS, GCP, Azure) and related services is a plus.
Strong communication and collaboration skills.
Excellent problem-solving skills and attention to detail.