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 Google Cloud Platform, 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 Google Cloud Platform 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 Google Cloud Platform 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 Kubernetes, Airflow, KFP, and Vertex AI.

• Ensure best practices in ML engineering, including code quality, testing, and documentation.

• Foster a culture of innovation, continuous learning, and knowledge sharing within the team.

• Understand and champion Software Development Life Cycle (SDLC) as well as the Model Development Life Cycle (MDLC).

Additional Responsibilities:

• Level of Effort Estimation: Estimate the effort required for implementing machine learning features, enhancements, and bug fixes, considering factors such as complexity, data volume, and integration points. Collaborate with cross-functional teams to provide accurate and timely estimates.

• Collaborate with data scientists to train, guide, and support processes to ensure security and address vulnerabilities.

Qualifications:

• 8+ years of experience with a master's degree or 10+ years of relevant experience in Software Engineering or ML/AI engineering.

• Proficiency in Python, FastAPI, Google Cloud Platform, Cloud Architecture, KFP, Vertex AI, and Kubernetes.

• Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Why Join Cotality:

• Opportunity to work on cutting-edge technology projects that have a real impact on the real estate industry.

• Be part of a dynamic team that values innovation, collaboration, and the pursuit of excellence.

• Enjoy a competitive compensation package, comprehensive benefits, and opportunities for professional growth.

Job Qualifications:

• 8+ years of experience with a master's degree or 10+ years of relevant experience in Software Engineering or ML/AI engineering.

• Proficiency in Python, FastAPI, Google Cloud Platform, Cloud Architecture, KFP, Vertex AI, and Kubernetes.

• Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Annual Pay Range:
112,700 - 170,000 USD

Cotality benefits information can be found here: Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from any posted range.

Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace.

Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.

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