Description

You will build, deploy, and operationalize Generative AI and traditional AI platform capabilities across on-premises and cloud environments.

This role is on-site.

Responsibilities

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

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, specifically 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 in LLM and Generative AI development or DevOps.
• 1+ year of experience with Vector Databases and model development.
• Experience developing APIs on GCP, Azure, or API Gateways.

Key Skills

Education

Any Graduate