Lead AI and Data Engineer

Lead AI And Data EngineerEaton'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 include:Author high quality, unit tested code in an iterative mannerDrive a Secure Product Development Lifecycle approachPossess good knowledge of a wide range of technologies and programming languagesDevelop, build, and configure solutions that implement user storiesDevelop and execute agile work plans for iterative and incremental product deliveryEnsure that solutions meet technical requirements, non-functional requirements, and enterprise technology standardsContinuously integrate and deploy solutionsTest software to ensure responsiveness and performanceMaintain, operate, and monitor solutionsCreate prototype designs for a product very rapidly using a wide range of techniquesDemonstrate and document solutions by using flowcharts, diagrams, code comments, code snippets, and performance instrumentsRecommend software tools to management and architecture teamsImplement and maintain the infrastructure needed for end-to-end machine learning workflows including data collection, model training, and deployment in production environmentsManage the lifecycle of large language models including training, evaluation, deployment, and monitoring of these modelsEvaluate the performance of various machine learning models using appropriate metrics and statistical testsFine-tune and enhance existing Retrieval Augmented Generation (RAG) and LLM models to improve their performance and adaptabilityDesign and optimize prompts to effectively guide the behavior of language modelsProvide guidelines and strategies for improving the accuracy of machine learning modelsAdvise on how to optimize token usage to save costs and improve performance including strategies for efficient data preprocessing, model architecture design, and deploymentLeverage Azure AI technologies for developing, deploying, and managing AI solutions with Azure Machine Learning and Cognitive ServicesHave knowledge and experience in deploying models and applications in cloud environments, particularly AzureQualifications:Basic Qualifications:Bachelor's degree from an accredited institutionMinimum 3 years of experience in software engineeringNo 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.Preferred Qualifications:Experience utilizing best practices in software engineeringExperience developing enterprise grade, highly scalable web-based applications and/or distributed systemsStrong knowledge of machine learning algorithms and principlesProficiency with Azure AI technologies including Azure Open AIExperience with Snowflake is a plusStrong programming skills, preferably in Python, experience with C# and.NET is a plusSolid understanding of software design principles, algorithms, data structures, and multithreading conceptsSolid understanding of DevSecOps, CI, and CD principles from code check-in through to deploymentExperience with modern software development principles including code management, test automation, APIs, microservices, and cloud servicesExperience working with Agile, Scrum, or Kanban