Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Manufacturing, Digital, DataIndustries
Requirements
- Demonstrated expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), and/or Generative AI (LLMs, RAG, transformers)
- Experience deploying models with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc
- Strong programming skills in Python; familiarity with other languages or tools (Java, Go, Scala, Docker, K8s) is a plus
- Experience with model training, fine-tuning, prompt engineering, and use of vector databases
- Familiarity with cloud services (AWS/GCP/Azure) for model deployment
- Experience with MLOps, CI/CD for ML, and version control
Responsibilities
- Architect and implement AI/ML models for automation, predictive analytics, and process optimization in manufacturing
- Develop and maintain scalable data and ML pipelines; execute on end-to-end AI solution lifecycles (from data processing to model deployment and monitoring)
- Collaborate with product, engineering, and operations teams to design and integrate AI features into digital products
- Apply Generative AI or LLMs for use cases in simulation, generative design, digital documentation, and intelligent operator assistance
- Champion best MLOps practices, code quality, and testing for robust AI deployments
- Mentor junior engineers and data scientists on technical best practices
- Remain current with industry and AI advancements, and quickly adapt solutions to evolving needs
Skills
AI
NVIDIA Omniverse
IoT
Advanced Analytics
System Integration
Digital Twins
Simulation
Intelligent Automation
Manufacturing Software
Supply Chain
Data Integration
Workflows
Caterpillar Inc.
Manufactures heavy machinery for various industries
About Caterpillar Inc.
Caterpillar Inc. designs and manufactures heavy machinery and equipment for industries such as construction, mining, energy, and rail. Their products include a wide range of machinery and engines that help clients complete large-scale projects. Caterpillar's equipment works by providing powerful tools that can perform tasks like digging, lifting, and transporting materials. What sets Caterpillar apart from its competitors is its strong aftermarket support, which includes maintenance and repair services, ensuring that their machinery remains efficient and reliable over time. The company's goal is to deliver high-quality products while also focusing on sustainability and community development through initiatives that improve education and reduce poverty.
Irving, TexasHeadquarters
1925Year Founded
$143.5KTotal Funding
IPOCompany Stage
Industrial & Manufacturing, Social Impact, AI & Machine LearningIndustries
10,001+Employees
Benefits
Annual incentive bonus plan
Medical, dental, and vision coverage
Paid time off plan (Vacation, Holiday, Volunteer, Etc.)
401k savings plan
Health savings account (HSA)
Flexible spending accounts (FSAs)
Disability benefits
Life Insurance
Parental leave
Healthy Lifestyle Programs
Employee Assistance Programs
Voluntary Benefits and Employee Discounts
Tuition Reimbursement
Career Development
Risks
Closure of Aurora office may impact regional economy and Caterpillar's reputation.
Partnership with Anti Social Social Club could dilute Caterpillar's industrial brand focus.
Advanced technology in Cat D8 dozer may face resistance from traditional customers.
Differentiation
Caterpillar's century-long history underscores its reliability and industry leadership.
The company integrates AI and IoT to enhance machinery performance and customer satisfaction.
Caterpillar's strong aftermarket services ensure product longevity and operational efficiency.
Upsides
Growing demand for autonomous equipment boosts Caterpillar's innovation in heavy machinery.
Expansion of 5G networks enhances Caterpillar's remote operation capabilities, improving safety.
Caterpillar's commitment to sustainability aligns with the global shift towards eco-friendly practices.
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