Job Description

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

TRG

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