AI Sr Engineer (AI ML)

at  Photon

Greetings Everyone
Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check
https://youtu.be/uJWBWQZEA6o
.
What will you do?
What are we looking for?
Job Requisition for AI-ML Engineer – Gen AI Data
No of positions: 2
Location: Concord CA (Primary), Charlotte NC (secondary)

KEY REQUIREMENTS:

5+ years of Python experience
5+ years of big data experience needed (Big Query, Hadoop)
3 years of experience in AIML area (MLOps)
2+ years of experience in developing APIs using Python/FastAPI.
Good to have 1+year of experience in LLM, Generative AI (developing capabilities or dev/ops)
Good to have Experience in developing of API on GCP/Azure/API Gateways
Good to have 1+year of experience in Vector Database, Model Development would be added benefit.

Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.
Primary responsibilities include working on vector database, creating index, writing python code for data ingestion, working with content management systems to parse, chunk data
Primary responsibilities also include Vector Database Build on GCP and Azure and building associated data pipeline for Vector Database, Document AI
Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML)
Building automation capabilities to deploy ML Models and LLM Models on the enterprise on-prem platform and cloud platform.
Build and Deploy capabilities for automating model scoring/Inferencing of ML models and LLMs.
Build and Deploy capabilities for data pipeline deployment standardization and model consumption by multiple LOBs.
Collaborate with product owners, devOps team, data scientists, support teams to define and drive end to end model scoring pipelines.
Participate in day-to-day standups for platform capability build.
Provide SME guidance for data science teams on software engineering principles, model deployments, platform capabilities.
Drive AI use case delivery end to end collaborating with Data scientists, Data Engineers, LOB Technology using standardized platform processes and capabilities.
Support Production Issues partnering with production support.