Description

You will build and deploy Generative AI and traditional AI platform capabilities across enterprise 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 capabilities for deploying ML and LLM models and automating model scoring and inferencing.
• Collaborate with data scientists to optimize scoring pipelines and standardize data pipeline deployment for multiple lines of business.
• Drive end-to-end AI use case delivery by partnering with product owners, DevOps, and data engineering teams.
• Provide SME guidance to data science teams on software engineering principles and model deployment.

Required Skills

• 5+ years of Python experience.
• 5+ years of big data experience using Big Query and Hadoop.
• 3 years of experience in AIML and MLOps.
• 2+ years of experience developing APIs using Python and FastAPI.
• Experience with GCP and Azure platforms.
• Any Graduate degree.

Preferred Skills

• 1+ year of experience with LLM and Generative AI development or DevOps.
• 1+ year of 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