Google

8 open remote positions

Our client is a leader in cloud-based Software-as-a-Service (SaaS) solutions for managing real estate and facilities lifecycles. They serve hundreds of customers across over 140 countries, focusing on end-to-end lifecycle management.

Benefits Overview 1 of 8 jobs

Dental (1) Medical (1) PTO (1) Savings Plan (1) Vision (1)

Open Positions

  • Develop, deploy, and maintain machine learning models in production environments using AWS SageMaker or similar platforms.
  • Perform exploratory data analysis, feature engineering, and build data pipelines to support scalable ML workflows.
  • Monitor production models, address performance issues, and collaborate with engineering and business stakeholders to deliver data-driven solutions.

  • Design and execute the technical architecture for enterprise-wide intelligent automation and process mining.
  • Bridge core RPA platforms with machine learning and NLP-driven process discovery tools.
  • Scale production footprint past 100+ automated workflows with high-level strategic governance.