AgreeYa Solutions - Santa Clara, CA

posted 4 days ago

Full-time - Mid Level
Santa Clara, CA
1,001-5,000 employees
Professional, Scientific, and Technical Services

About the position

The ML Engineer with Azure position at AgreeYa Solutions involves integrating machine learning and artificial intelligence capabilities into the ServiceNow platform. The role requires building ML/AI-enabled applications, evolving ML Ops processes, and architecting end-to-end proof of concepts and prototypes. The ideal candidate will have a passion for engineering processes necessary for training ML/AI models at scale in the cloud, with a strong focus on using Azure ML services.

Responsibilities

  • Integrate ML/AI capabilities into the ServiceNow platform
  • Build ML/AI enabled applications on the ServiceNow platform
  • Help evolve the ML Ops process
  • Build high quality components through the entire process including requirements gathering, design, implementation, testing, release, and support
  • Architect, design and build end to end proof of concept and prototype of products and solutions

Requirements

  • Experience with integrating ML/AI capabilities into platforms
  • Strong knowledge of Python and data science libraries
  • Good understanding of MLOps process, preferably using Azure ML service
  • Strong knowledge of microservices frameworks and asynchronous processing libraries
  • Experience implementing machine learning and deep learning solutions
  • Strong experience with prompt engineering and using large language models/generative AI services
  • Strong data analysis skills
  • Experience delivering NLP/NLU/NLQ solutions
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