Job Description

AIML Engineer

Location: Charlotte NC & San Leandro CA

Day 1 Onsite Weekly 3 days (Hybrid)

Key Skills: hands on experience in Python coding and Gen AI.

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

Job Tags

Similar Jobs