Career Area:

Engineering

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.

Role Definition

Caterpillar's CAT Technology in Chennai / Bengaluru is looking for an AI / ML Engineer with strong fundamentals in mathematics, machine learning and programming.

The successful candidate will play a key role in supporting multiple Caterpillar product groups by developing Reduced Order Models (ROMs) that accelerate design evaluation and component optimization. This position involves building performance tools, developing a digital platform to connect diverse data sources, and collaborating with a global, multidisciplinary engineering team. The role will help define ROMs requirements, set performance constraints, and apply physics and data analytics to drive optimized and robust product designs.

Responsibilities:

Develop and optimize product development cycles using AI/ML Develop methodologies for speeding simulation processesIdentify improvement opportunities in the existing workflowCommunicate technical information to customers, team members, suppliers, and other business units
 

Degree Requirement​:

Education - Bachelor’s / Master’s degree in an accredited Engineering field (i.e. Artificial Intelligence, Data Science and Machine Learning, Mechanical, Automobile, Aerospace Engineering)Experience – 2-3 years’ specific experience in AI/ ML

Required Skills:

Strong proficiency in Python (knowledge of C++ is a plus)Solid understanding of statistics, linear algebra, and probability behind MLHands-on experience with NumPy, SciPy, Pandas, scikit-learn, TensorFlowExperience of implementing ML algorithms with clear understanding of underlying conceptsKnowledge of neural networks, including CNNs and LSTMs, with ability to code models

Good to Have:

Background or familiarity with mechanical engineering conceptsExperience with chatbots, LLMs, or AI applications

Skill Descriptors
Information Capture: Knowledge of the methods, channels and processes to obtain needed information; ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.
 Level Basic Understanding: 
•    Identifies information capture needs in own area.
•    Describes key benefits, drawbacks and rationale for documenting relevant information.
•    Provides examples of the risks associated with failing to record relevant information.
•    Explains organizational methods for documenting, identifying and recording information.

Standard Operating Procedures: Knowledge of established standard operating procedures (SOP); ability to design, implement and evaluate standard operating procedures affecting daily and strategic business operations in order to increase operational efficiency.
 Level Basic Understanding: 
•    Compiles current research relevant to standard operating procedures.
•    Explains usage of standard operating procedures in business operations.
•    Describes main issues and considerations when using standard operating procedures.
•    Identifies key features and functions of standard operating procedures.

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 Basic Understanding: 
•    Names specific tools or techniques that can be used to support the analytical thinking process.
•    Describes specific software applications or products used for business analytics.
•    Gives examples of how analytical thinking has been used to resolve problems.
•    Helps others research and learn more about business analytics tools and applications.

Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
 Level Basic Understanding: 
•    Describes non-verbal behaviors that influence the interpretation of the message.
•    Cites examples of effective and ineffective communications.
•    Explains the importance of effective business communication.
•    Speaks/writes using correct language, mechanics, and gestures.

Design for Manufacturability (DFM): Knowledge of design for manufacturability guidelines, methodologies, and use cases; ability to use this knowledge to optimize product designs and manufacturing operations.
 Level Basic Understanding: 
•    Discusses the use cases, benefits, and importance of DFM.
•    Explains the key DFM design principles.
•    Lists the major tools and technologies used for implementing DFM methodologies.
•    Locates the DFM guidelines for various types of manufacturing processes within the organization.

Engineering - MFG: Knowledge of processes, techniques and methods of engineering in a manufacturing environment; ability to design and implement materials, structures, machines, devices, systems and processes that safely realize a desired objective or invention.
 Level Basic Understanding: 
•    Describes where and how to obtain additional engineering information and expertise.
•    Explains engineering concepts and features in a manufacturing environment.
•    Cites manufacturing industry or organizational examples of usage or application of engineering.
•    Identifies major initiatives, key issues and benefits of engineering in manufacturing.

Product Testing: Knowledge of product testing approaches, techniques and tools; ability to design, plan and execute testing strategies and tactics to ensure product quality at all stages of manufacturing.
 Level Basic Understanding: 
•    Describes key features and aspects of a specific testing discipline or methodology.
•    Describes common errors that are uncovered by product testing.
•    Cites examples of testing tools and practices currently in use.
•    Names key documentation (paper, audio, video) required during the testing process.

Troubleshooting Technical Problems: Knowledge of troubleshooting approaches, tools and techniques; ability to anticipate, detect and resolve technical problems in a manufacturing or product development environment.
 Level Basic Understanding: 
•    Explains where to locate basic help facilities and troubleshooting guides.
•    Discusses basic concepts behind a systematic approach to solving technical problems.
•    Identifies available resources and support systems for troubleshooting.
•    Describes problem identification, reporting and escalation procedures.

Posting Dates:

February 10, 2026 - February 23, 2026

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

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