Contract
Charlotte, NC
Job description
Role : Lead Gen AI Engineer
Locations: Charlotte, North Carolina (5 days working)
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
· Good to have 1+year of experience in Vector Database, Model Development would be added benefit.
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.
· Experience with containerization and orchestration tools onprem and cloud (e.g., AKS, GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/ML models.
Job Type: Contract
Pay: $65.00 - $75.00 per hour
Work Location: In person
