About this opportunity
The Sherwin-Williams Company lists this Lead AI Engineer opportunity in cleveland, Ohio. Review the employer’s description below for duties, qualifications and application requirements.
Job description
The Lead Machine Learning Engineer is responsible for designing, developing, testing and operationalizing ML (Machine Learning) and other data solutions, including cloud-based or internet-related tools for internal or external consumption. The Incumbent will provide technical solutions to enable the company to meet its strategic objectives through effective collaboration with business analysts, data scientists, software engineers, platform engineers, quality assurance testers, and project managers. The Incumbent will collaborate with others to ensure successful teamwork, effective development, and delivery of high-quality machine learning and data solutions that include MLOps practices such as CI/CD pipelines, automated testing, and monitoring.
Oversee the design, development, and deployment of machine learning models and other data solutions in alignment with business requirements and technical specifications defined
Guide the training, validation, and optimize machine learning models and other data solutions to ensure high performance and accuracy. Implement techniques for model/solution improvement and fine-tuning.
Provide strategic direction in the writing of high-quality, maintainable, and scalable code
Expert in Creating and maintaining technical documentation including model development processes, deployment workflows, operational procedures, code comments, design documents, and user manuals
MLOps Implementation: Provide expert guidance through the development and implementation of CI/CD pipelines for seamless model deployment. Guide testing throughout the development, integration, deployment, and management of the software solution, and automating where possible to ensure solution quality and security in accordance with industry standards and company policies
Foster cross functional collaboration with data scientists, business analysts, software engineers, IT operations, quality assurance testers, and project managers to to translate business requirements into successful technical solutions that are integrated into production environments
Provide ongoing solution support including incident and problem management, root cause analysis, request fulfilment, security compliance, fault repair, resiliency testing, and observability
Innovation and Research: Stay updated with the latest advancements in machine learning and MLOps practices. Explore and implement innovative solutions to enhance the company's machine learning capabilities.
This position can be remote.
This position is not eligible for sponsorship for work authorization now or in the future, including conversion to H1-B visa. Must be legally authorized to work in the country of employment without needing sponsorship for employment work visa status now or in the future.
Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company's staff, employees, and business relationships.
Education and Experience
Required
Bachelor's Degree in Computer Science or Computer Engineering or in lieu of a degree, at least 9 years of experience in software development
6+ years of experience in ML, MLOps, and/or software developmen
Highly proficient knowledge of software development life cycle (SDLC) methodologies and practices, particularly MLOps and DevOps
Highly proficient knowledge of software development tools, platforms and languages, particularly cloud platforms
Proven experience in developing, integrating, testing and deploying software solutions for cloud-based or internet-related tools
Expert of relational databases and SQL
Excellent written and verbal communication skills
Proven experience in developing Microservices and in-depth knowledge of various Integration patterns
Use of Generative AI tools for SDLC, such as Claude Code, Codex, or Github Copilot
Experience developing Generative AI systems, such as LLM-based chatbots, RAG systems, agentic workflows, or the like.
Database Management Systems
Data Science or Statistics experience, particularly as relates to Machine Learning
Programming Languages, particularly Python or R
Cloud Technologies & Platforms
Software Development Lifecyle (SDLC) Methodology
Continuous Integration and Continuous Deployment (CI/CD)
Web Services & APIs
Familiarity with MLOps practices, including CI/CD pipelines, automated testing, and model monitoring.
Experience with tools such as Docker, Kubernetes, Jenkins, and MLflow
Containerization and cloud-native development
Source Control Systems, particularly github
Build Tools and Compilers
Software Testing & Quality Assurance Methodologies & Tools
Automated Testing Tools
Solution Architecture Patterns
Data Science platforms
Systems Integration patterns and technologies
Must be legally authorized to work in the United States without sponsorship now or in the future for employment visa status
Must be at least eighteen (18) years of age
Preferred
Certified Software Development Professional (CSDP) or equivalent certification
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.