Senior AI Engineer

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

Title: Sr. Professional, Analytics Engineering  

Company: Cotality

About Cotality: Cotality is a leading provider of consumer, financial and property data, analytics and services to business and government. We foster a culture of innovation, collaboration, and continuous improvement, where each team member is encouraged to push boundaries and explore new possibilities. 

Role Overview: 

We are seeking a self-driven ML Engineer with a strong background in developing AI/ML solutions and extensive experience working within a microservice environment. The ideal candidate will have expertise in developing these solutions on GCP, with deep knowledge in developing products in python, kubernetes, and strong familiarity with orchestration technologies like KFP or Airflow. The candidate must also have experience with GCP suite of tools, such as Vertex AI, BigQuery, and Dataflow. This role requires a deep understanding of computer science and machine learning engineering principles. 

Key Responsibilities: 

• Design robust cloud solutions in GCP that will service the Cotality intelligence and data solutions 

• Develop and deploy models and services in managed Kubernetes Framework (Anthos) 

• Enhance and optimize the performance of containerized applications.

• Develop and deploy batch predictions using Dataflow, KFP and Vertex AI 

• Develop and deploy GenAI models using LangChain 

• Demonstrate expertise in Agile methodologies, with a strong emphasis on backlog management and sprint planning to ensure efficient project progression and delivery. 

• Cross functional collaboration with other machine learning engineers and data scientists to drive requirements and create new models 

• Implement and maintain ongoing prediction pipelines using tools like K