AI/ML Engineer Job Opportunity in Charlotte, NC - 6-12 Months Contract

Location: Charlotte, NC

Duration: 6-12 Months

Key Responsibilities

• Participate in the development of Generative AI and Traditional AI Platform Capabilities for enterprise on-prem and cloud platforms.
• Responsible for delivering AI models to on-premises infrastructure and cloud platforms such as GCP-Vertex AI and Azure ML.
• Collaborate with data scientists to optimize the scoring pipeline.
• Develop automation capabilities to deploy ML Models and LLM Models on enterprise on-premises and cloud platforms.
• Build and deploy capabilities for automating model scoring and inferencing of ML models and LLMs.
• Standardize data pipeline deployment and model consumption for multiple lines of business (LOBs).
• Work closely with product owners, DevOps teams, data scientists, and support teams to define and manage end-to-end model scoring pipelines.
• Participate in daily standups to build platform capabilities.
• Provide subject matter expertise (SME) guidance on software engineering principles, model deployments, and platform capabilities to data science teams.
• Drive end-to-end AI use case delivery in collaboration with data scientists, data engineers, and LOB Technology using standardized platform processes and capabilities.
• Support production issues in partnership with the production support team.

Key Requirements

• 5+ years of Python experience.
• 5+ years of experience with big data technologies like BigQuery and Hadoop.
• 3 years of experience in the AIML area, particularly in MLOps.
• 2+ years of experience in developing APIs using Python/FastAPI.
• 1+ year of experience with Document AI, Agent Builder, GCP search/conversation, or Dialogflow is a plus.
• Experience with LLM and Generative AI capabilities or DevOps is advantageous.
• Familiarity with developing APIs on GCP, Azure, or API Gateways is beneficial.
• 1+ year of experience with Vector Databases and Model Development is an added benefit.

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