Description

You will build and deploy AI and LLM applications using Python and deep learning architectures.

Responsibilities

• Develop AI/LLM applications leveraging transformer models like GPT and BERT.
• Implement LLM frameworks using the OpenAI SDK and similar tools.
• Apply MLOps and LLMOps principles to manage generative AI lifecycles.
• Build rapid prototypes and application deployments using Streamlit.
• Execute data analysis and engineering tasks to support model development.

Required Skills

• 10+ years of professional experience in software or data engineering.
• Advanced Python programming proficiency.
• Deep learning expertise, specifically with transformer models.
• Hands-on experience with OpenAI SDK and LLM frameworks.
• Strong data analysis skills using Pandas, NumPy, and Matplotlib.
• Practical knowledge of LLMOps, FMOps, or GenAIOps.
• Proficiency in SQL and Snowflake.
• Solid understanding of data engineering fundamentals.
• Experience with AI/ML implementation.

Preferred Skills

• Experience with Streamlit for rapid prototyping.

Key Skills

Education

Any Gradute