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Cotality is no ordinary company. We’re the only holistic data, insights and workflow solutions provider for the property ecosystem—serving industries ranging from real estate to public policy to retail—and counting. Together, we're making the complex more seamless, more unified and more resilient to whatever the future may hold.Cotality is committed to investing in the most talented employees providing them with career advancement opportunities, and supportive, visible, and trusted leadership.
We foster a collaborative culture with work-life balance. At Cotality, you will be a part of an inclusive enterprise team that does impactful and meaningful work, shaping the future of the property industry and beyond.
Job Description:
As a Senior AI Engineer, you will collaborate closely with cross-functional teams of data scientists, machine learning engineers, and business stakeholders to define AI-driven solutions and model requirements. You will play a critical role in the development of new AI capabilities, the ongoing maintenance of AI pipelines, and ensuring that all models meet best practices for machine learning engineering, including rigorous testing and comprehensive documentation.
Key Responsibilities:
- AI Model Development & Deployment: Design, develop, and deploy machine learning models and services, leveraging tools such as Vertex AI, Dataflow, and KFP.
- Generative AI (GenAI) Models: Develop and deploy generative AI models using LangChain and other advanced AI frameworks.
- Performance Optimization: Optimize the performance of containerized AI applications, ensuring that models and services are efficient, scalable, and reliable, meeting high-performance benchmarks and production requirements.
- ML Pipeline Implementation & Maintenance: Design, implement, and maintain continuous prediction pipelines using Kubernetes, Airflow, KFP, and Vertex AI to ensure the ongoing operation and scalability of AI solutions.
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, GCP, Cloud Architecture, KFP, Vertex AI, and Kubernetes.
- Demonstrated experience building and maintaining scalable, efficient AI/ML pipelines for large datasets.
- Work closely with cross-functional teams, including machine learning engineers and data scientists, to define model requirements, develop solutions, and iterate on model improvements to meet business objectives.
- Ensure the implementation of best practices in machine learning engineering, including code quality, rigorous testing, version control, and comprehensive documentation throughout the model development lifecycle (MDLC).
- Lead and implement Agile practices within the team, including sprint planning, backlog management, and iterative development to ensure efficient delivery of AI projects and continuous improvements.
- Promote a culture of continuous learning, knowledge sharing, and innovation within the AI engineering team, ensuring the adoption of the latest technologies and methodologies to enhance team performance and product development.
Cotality benefits information can be found here: http://www.yourcorebenefits.com/. 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. Please apply on our website for consideration.Privacy PolicyGlobal Applicant Privacy PolicyBy providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.
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