Senior AI/ML Engineer

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.