AI/ML Platform Engineer

Employment Type

: Full-Time


: Engineering

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Job Description

Job #: 1064608

Chicago, IL

AI/ML Platform Engineer

12-Months+, or CTH

Interested in harnessing the power of predictive analytics and machine learning to Digital deliver “smarter iron?” Using a combination of telemetry, enterprise and dealer/customer data, Digital data scientists are building models to prevent catastrophic machine failure, turn unplanned maintenance to planned and to make more accurate repair recommendations. On CAT Digital’s “Helios” IOT platform, which heavily leverages the AWS cloud platform, you’ll work with Amazon’s AI and ML services to deploy, optimize and monitor predictive models that keeps Caterpillar equipment running efficiently. This technical lead position will have you working closely with data scientists and data architects to operationalize the models they deliver. You will design, implement, test, document, and support cross-cutting services to help customers do machine learning at scale. You will serve as a key technical resource in the full development cycle, from conception to delivery and maintenance. You will own delivery of entire piece of the system and serve as technical lead on complex projects using best practice engineering standards.

Basic Qualifications

  • 7+ years of non-internship professional software development experience
  • Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
  • 4+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
  • Computer Science fundamentals in object-oriented design
  • Computer Science fundamentals in data structures
  • Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
  • Proficiency in, at least, one modern programming language such as Java, Python
  • Preferred Qualifications

  • 1. Experience building complex software systems that have been successfully delivered to customers
  • 2. Experience building cloud-based predictive analytics software systems
  • 3. Hands on experience with Amazon’s AI and ML Services, particularly SageMaker
  • 4. Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  • 5. Ability to take a project from scoping requirements through actual launch of the project
  • 6. Deep hands-on technical expertise in: large scale systems engineering; building and operating complex distributed systems
  • 7. Experience with Machine Learning, data mining, and/or statistical analysis tools such as R and MATLAB is a plus
  • * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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