Lead ML Engineer, Cat Digital

Caterpillar Inc.Peoria, IL
1d$128,470 - $208,770

About The Position

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. Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world. Join the Gen AI Delivery team of Cat Digital and be responsible for bringing world class GenAI capabilities to our products and services.

Requirements

  • 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.
  • 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.
  • Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
  • Programming: Solid understanding of concepts and capabilities of software engineering; ability to use tools, techniques and platforms to write and modify software.
  • 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.

Nice To Haves

  • Experience with Python and Golang
  • Experience with AWS services and tools
  • Ability to evaluate generated content from Large-Language Models (LLM)
  • Machine Learning Computer Vision

Responsibilities

  • Model Development: Fine-tuning, implementing, developing, and optimizing models used in generative AI solutions
  • Algorithm Research: Staying updated with the latest advancements in AI and machine learning algorithms and integrating them into the team's projects.
  • Experimentation: Conducting experiments to test the performance of different models and approaches, and iterating based on the results.
  • Research and Implementation: Agentic GenAI solution research and best approach to implement solutions
  • Training and Mentorship: Providing guidance and mentorship to junior data scientists and other team members.

Benefits

  • Medical, dental, and vision benefits
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)
  • 401(k) savings plans
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSAs)
  • Health Lifestyle Programs
  • Employee Assistance Program
  • Voluntary Benefits and Employee Discounts
  • Career Development
  • Incentive bonus
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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