Eaton's Corporate Sector division is currently seeking a AI Engineer/Data Science.
What you'll do:
This position is responsible for gathering user requirements, defining system functionality and writing code in various languages like Python and Scripting languages. The full stack engineer will write code that resides in all areas across a typical application stack. This encompasses the user interface (UI), back-end systems, APIs, databases and data stores, as well as unit tests and test automation scripts. They know how to author high-quality, unit tested code for scalable web applications and distributed systems. Solutions run on-premises and in the cloud.
#LI-AR7
- 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
- Possess 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.
- 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.
- Have knowledge and experience in deploying models and applications in cloud environments, particularly Azure.
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Qualifications:
- Bachelor's degree from an accredited institution
- 7-10 years of experience, 3+ years of experience in the software industry with a proven track record of shipping high quality products
Skills:
- Experience utilizing best practices in software engineering
- Expert/Intermediate knowledge of Linux and Windows operating systems and their associated development platforms
- Experience developing enterprise grade, highly scalable web-based applications and/or distributed systems
- Proficiency with Azure AI technologies including Azure Open AI
- Experience with MLOps, LLM Ops, model evaluation techniques, and Retrieval Augmented Generation.
- Strong programming skills, preferably in Python, experience with C# and .NET is a plus.
- 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"
We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.