Gen AI Engineer

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