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TRG

AI/ML Engineer

TRG, Waterford, MI, United States

RESPONSIBILITIES

  • Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.
  • AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML)
  • 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 engineers, 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 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.

REQUIREMENTS
  • 4+ years of Python development experience
  • 4+ years of big data experience needed (BigQuery, Hadoop or equivalent)
  • 3+ years of experience in Al, ML or MLOps area
  • 2+ years of experience in developing APls
  • 1+ year of experience in LLM, Generative Al (developing capabilities or dev/ops)
  • 1+ year of Document Al, Agent Builder/GCP search/conversation/Dialogflow
  • 1+ year of experience in Vector Database, Model Development
  • Experience in developing and implementing algorithms to automate data cleaning, normalization, and enrichment processes
  • Experience in Data discovery, Data collection and Processing, Data transformation, Machine learning models and Business insights generation
  • Excellent Understanding software development life cycle (SDLC), version control systems (e.g., Git), and debugging techniques
  • Experience as trusted advisor to clients, recommending innovative Al solutions to address their unique business challenges.

WORK ENVIRONMENT
  • Hybrid role - 3 days in the office inWaterford, MI