AI-ML Engineer
AI-ML Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
AIML Engineer
Location: Charlotte NC & San Leandro CA
Day 1 Onsite Weekly 3 days (Hybrid)
Key Responsibilities:
- Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise onprem and cloud platforms.
- Responsible for AI model delivery to onprem infrastructure and cloud platforms (GCPVertex 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 daytoday 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 1year 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 1year of experience in Vector Database Model Development would be added
Employment Type
Full Time
