Description

You will build and scale Generative AI and traditional AI platform capabilities across enterprise on-prem and cloud environments.

This role is on-site.

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 across multiple lines of business.
• Collaborate with data scientists to optimize scoring pipelines and provide SME 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 AI/ML and MLOps.
• 2+ years of experience developing APIs using Python and FastAPI.
• Experience with GCP-Vertex AI and Azure ML.
• Any Graduate degree.

Preferred Skills

• 1+ year of experience with LLM, Generative AI, or Vector Databases.
• Experience with Document AI, Agent Builder, GCP search, conversation, or Dialogflow.
• Experience developing APIs on GCP, Azure, or API Gateways.

Key Skills

Education

Any Graduate