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AIML Engineer with strong in Python experience

1 month ago

Charlotte, United States Smart IT Frame LLC Full time

Experience Level: 8+ years

Note: Only locals in NC or Concord, CA (Onsite - Hybrid role 3 days in a week)


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.


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.