Role: AI-ML Engineer
Locations: Charlotte NC (Primary), Concord CA (secondary)
Duration: Contract/Fulltime
Key Responsibilities:
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Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.
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Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML)
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Collaborating with Data scientist to optimize the scoring pipeline.
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Building automation capabilities to deploy ML Models and LLM Models on the enterprise on-prem platform and cloud platform.
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Build and Deploy capabilities for automating model scoring/Inferencing of ML models and LLMs.
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Build and Deploy capabilities for data pipeline deployment standardization and model consumption by multiple LOBs.
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Collaborate with product owners, devOps team, data scientists, support teams to define and drive end to end model scoring pipelines.
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Participate in day-to-day standups for platform capability build.
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Provide SME guidance for data science teams on software engineering principles, model deployments, platform capabilities.
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Drive AI use case delivery end to end collaborating with Data scientists, Data Engineers, LOB Technology using standardized platform processes and capabilities.
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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.