3,730 jobs at Eaton

Eaton's Corporate Sector division is currently seeking a Lead AI and Data Engineer.

The expected annual salary range for this role is $97000 - $143000 a year.

Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.

What you'll do:

As a Lead AI & Data Engineer, you will design, develop, and deploy scalable AI-powered solutions that drive business value across the enterprise. You'll work across the technology stack, combining software engineering best practices with modern AI and machine learning capabilities to deliver secure, reliable, and innovative solutions.

Job responsibilities

-Author high quality, unit tested code in an iterative manner
-Drive a Secure Product Development Lifecycle approach that establishes a strong cybersecurity focus and culture across the entire engineering lifecycle
-Posses good knowledge of a wide range of technologies and programming languages. Maintain job knowledge by studying software development techniques and programming languages. Participate in educational opportunities and read professional publications.
-Develop, build, and configure solutions that implement user stories
-Develop and execute agile work plans for iterative and incremental product delivery
-Ensure that solutions meet technical requirements, non-functional requirements, and enterprise technology standards
-Continuously integrate and deploy solutions (with support of DevOps and service teams)
-Test software to ensure responsiveness and performance. Work with test teams to ensure adequate and appropriate test case coverage; investigate and fix bugs; create automated test scripts.
-Maintain, operate, and monitor solutions
-Create prototype designs for a product very rapidly using a wide range of techniques
-Demonstrate and document solutions by using flowcharts, diagrams, code comments, code snippets, and performance instruments
-Recommend software tools to management and architecture teams
-Implement and maintain the infrastructure needed for end-to-end machine learning workflows including data collection, model training, and deployment in production environments.
-Manage the lifecycle of large language models including training, evaluation, deployment, and monitoring of these models.
-Evaluate the performance of various machine learning models using appropriate metrics and statistical tests. Make recommendations on which models to use based on their performance.
-Fine-tune and enhance existing Retrieval Augmented Generation (RAG) and LLM models to improve their performance and adaptability.
-Design and optimize prompts to effectively guide the behavior of language models. Understand and manage the flow of prompts in a conversation or task.
-Provide guidelines and strategies for improving the accuracy of machine learning models.
-Advise on how to optimize token usage to save costs and improve performance including strategies for efficient data preprocessing, model architecture design, and deployment.
-Leverage Azure AI technologies for developing, deploying, and managing AI solutions with Azure Machine Learning and Cognitive Services.
-Have knowledge and experience in deploying models and applications in cloud environments, particularly Azure.

Qualifications:

Basic Qualifications:

-Bachelor's degree from an accredited institution
-Minimum 3 years of experience in software engineering
-No relocation is offered for this role. Only candidates residing within a 50 mile radius of Beachwood, OH; or Mountainside, NJ area will be considered. Active Duty Military Service member candidates are exempt from the geographical area limitation.
-Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc.

Preferred Qualifications:

-Experience utilizing best practices in software engineering
-Experience developing enterprise grade, highly scalable web-based applications and/or distributed systems
-Strong knowledge of machine learning algorithms and principles.
-Proficiency with Azure AI technologies including Azure Open AI
-Experience with Snowflake is a plus
-Strong programming skills, preferably in Python, experience with C# and .NET is a plus.
-Solid understanding of software design principles, algorithms, data structures, and multithreading concepts
-Solid understanding of DevSecOps, CI, and CD principles from code check-in through to deployment
-Experience with modern software development principles including code management, test automation, APIs, microservices, and cloud services.
-Experience working with Agile, Scrum, or Kanban

All positions may require participation in video and in-person interviews as part of the hiring process. All candidates will be evaluated based on job-related competencies, and all candidates' privacy rights and data security will be protected in accordance with applicable laws.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.

You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.

To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.

We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

About Eaton

Eaton is an intelligent power management company dedicated to improving the quality of life and protecting the environment for people everywhere.

Size: 10,000+ employees
Industry: Engineering

View company profile

Perks and Benefits

Health and Wellness
- Health Insurance
- Health Reimbursement Account (HRA)
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- HSA with Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Pet Insurance
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Birth Parent or Maternity Leave
- Adoption Assistance Program
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
- Summer Fridays
Financial and Retirement
- 401(k) With Company Matching
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Office Life and Perks
- Casual Dress
- On-Site Cafeteria
Professional Development
- Tuition Reimbursement
- Promote from Within
- Mentor Program
- Shadowing Opportunities
- Access to Online Courses
- Internship Program
- Work Visa Sponsorship
- Leadership Training Program
- Associate or Rotational Training Program
Diversity And Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)