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AI/ML Architect

1 month ago

Charlotte, United States KTek Resourcing Full time

Job Description :


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 an added benefit.