Description

Build and deploy Generative AI and traditional AI platform capabilities across on-prem and cloud environments.

Responsibilities

• Deliver AI models to on-prem infrastructure and cloud platforms including GCP Vertex AI and Azure ML.
• Build automation for deploying ML and LLM models and automating model scoring and inferencing.
• Standardize data pipeline deployment and model consumption for multiple lines of business.
• Collaborate with data scientists to optimize scoring pipelines and provide guidance on software engineering principles.
• Drive end-to-end AI use case delivery by partnering with DevOps, data engineers, and product owners.

Required Skills

• 5+ years of Python experience.
• 5+ years of big data experience using Big Query and Hadoop.
• 3 years of experience in the AI/ML area with a focus on MLOps.
• 2+ years of experience developing APIs using Python and FastAPI.
• Experience with GCP and Azure platforms.
• Ability to support production issues in partnership with support teams.

Preferred Skills

• Experience with LLMs, Generative AI, and Vector Databases.
• Experience with Document AI, Agent Builder, GCP Search, Conversation, or Dialogflow.
• Experience with model development and deploying APIs on GCP, Azure, or API Gateways.

Key Skills

Education

Any Gradute