Machine Learning Engineer

Career Area:

Technology, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Responsibilities:

• Work with time-series data from sensors and aggregate/unstructured data from other sources
• develop physics-based/rule-based/data-driven algorithms for condition monitoring
• develop, test and demonstrate machine learning models for failure/anomaly detection
• share results with internal teams and discuss in review forums
• document and archive the generated knowledge for future reference.
  
  

Skill Descriptors:

Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.

Level Working Knowledge:

• Explains the basic decision process associated with specific statistics.
• Works with basic statistical functions on a spreadsheet or a calculator.
• Explains reasons for common statistical errors, misinterpretations, and misrepresentations.
• Describes characteristics of sample size, normal distributions, and standard deviation.
• Generates and interprets basic statistical data.
  
  

Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.

Level Working Knowledge:

• Accurately gauges the impact and cost of errors, omissions, and oversights.
• Utilizes specific approaches and tools for checking and cross-checking outputs.

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• Processes limited amounts of detailed information with good accuracy.
• Learns from mistakes and applies lessons learned.
• Develops and uses checklists to ensure that information goes out error-free.
  
  

Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.

Level Working Knowledge:

• Approaches a situation or problem by defining the problem or issue and determining its significance.
• Makes a systematic comparison of two or more alternative solutions.
• Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns.
• Identifies the major forces, events and people impacting and impacted by the situation at hand.
• Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.
  
  

Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.

Level Basic Understanding:

• Explains the definition and objectives of machine learning.
• Describes the algorithms and logic of machine learning.
• Distinguishes between machine learning and deep learning.
• Gives several examples on the implementation of machine learning.
  
  

Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.

Level Basic Understanding:

• Describes the basic concepts of programming and program construction activities.
• Uses programming documentation including program specifications in order to maintain standards.
• Describes the capabilities of major programming languages.

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• Identifies locally relevant programming tools.
  
  

Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.

Level Working Knowledge:

• Defines, creates and tests simple queries by using associated command language in a specific environment.
• Applies appropriate query tools used to connect to the data warehouse.
• Obtains and analyzes query access path information and query results.
• Employs tested query statements to retrieve, insert, update and delete information.
• Works with advanced features and functions including sorting, filtering and making simple calculations.
  
  

Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.

Level Working Knowledge:

• Follows policies, practices and standards for determining functional and informational requirements.
• Confirms deliverables associated with requirements analysis.
• Communicates with customers and users to elicit and gather client requirements.
• Participates in the preparation of detailed documentation and requirements.
• Utilizes specific organizational methods, tools and techniques for requirements analysis.
  
  

Additional information: This job required 5workindays from office.

This Job Description is intended as a general guide to the job duties for this position and is intended for the purpose of establishing the specific salary grade. It is not designed to contain or be interpreted as an exhaustive summary of all responsibilities, duties and effort required of employees assigned to this job. At the discretion of management, this description may be changed at any time to address the evolving needs of the organization. It is expressly not intended to be a comprehensive list of “essential job functions” as that term is defined by the Americans with Disabilities Act.

Relocation is available for this position.

Posting Dates:

February 11, 2026 - February 18, 2026

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

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