AI/ML Engineer
Charlotte, NC
6-12 Months
Key Responsibilities:
 Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-
prem and cloud platforms.
 Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI,
Azure ML)
 Collaborating with Data scientist to optimize the scoring pipeline.
 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.
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.
 1+ year of Document AI, Agent Builder/GCP search/conversation / Dialogflow – Nice to have
 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.
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