Description

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 scoring pipelines.
• Standardize data pipeline deployment and model consumption across multiple lines of business.
• Collaborate with data scientists, DevOps, and product owners to drive end-to-end model scoring pipelines.
• Provide SME guidance on software engineering principles and model deployment to data science teams.

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 (MLOps).
• 2+ years of experience developing APIs using Python and FastAPI.
• Bachelor's degree in Computer Science.
• Experience with Machine Learning and Big Data technologies.

Key Skills

Education

Bachelor's degree in Computer Science