Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

FICO is looking to enable advanced predictive models deployed into cloud-based real-time transaction processing systems and build industry leading solutions by staying at the forefront of modern AI and ML technologies.

Requirements

• Experience working with cloud-based and distributed architectures, large real-world datasets, and production software or analytics.
• Strong knowledge of computer science fundamentals, software design principles, and best practices such as agile development, unit testing, version control, and continuous integration.
• Strong competency in two or more programming languages such as C, C++, Java, and/or Python.
• Experience working with distributed computing systems, frameworks, and database technologies (SQL and NoSQL).
• Experience building predictive analytic models and conducting data analysis.
• Working knowledge of machine learning fundamentals, mathematics, statistics, and algorithms.
• Experience working in Linux environments with proficiency in Linux scripting languages.

Responsibilities

• Contribute to requirements and development of advanced distributed ML architectures, pipelines, and infrastructure that scale for production environments.
• Develop algorithms and tools for real-time predictive analytics on high-volume, high-throughput transactional data.
• Integrate and evaluate advanced ML technologies, platforms and frameworks.
• Balance performance and cost constraints.
• Establish strong processes, quality controls, and ethical standards for PII and IP protection, analytic development, and product delivery.
• Interact and collaborate with cross functional teams (Software Development, QA, Professional Services, IT, Product Management, Sales, and Product Support).
• Drive and influence analytic and software designs decisions to ensure successful integration of analytic models into FICO Platform.

Other

• M.S. or Ph.D. degree in computer science, engineering, physics, or a related technical field.
• 3+ years of industry experience with demonstrated success in analytics software, data engineering, or machine learning.
• Mentor junior engineers and scientists.
• Travel and work outside of normal business hours as business dictates.
• Strong communication, presentation, and technical leadership skills.