Lead AI / Machine Learning Engineer

Sherwin-Williams offers a remote role in Cleveland, OH for a Lead AI / Machine Learning Engineer who will help operationalize machine learning and data solutions used across cloud and internet-related tools. This position combines hands-on model delivery with MLOps leadership, with opportunities to strengthen scalable engineering practices and collaborate with a wide set of teams. Along with competitive pay (USD 127,939 - 165,732 per year), you’ll be part of a culture focused on growth, community, and comprehensive benefits.

What you’ll do

• Oversee the design, development, testing, and deployment of machine learning models and other data solutions aligned to business requirements and defined technical specifications.
• Lead model training, validation, and performance optimization, including implementing techniques for improvement and fine-tuning to reach high accuracy.
• Provide strategic direction on writing high-quality, maintainable, scalable code.
• Create and maintain technical documentation covering model development processes, deployment workflows, operational procedures, code comments, design documents, and user manuals.
• Drive MLOps practices by guiding CI/CD pipeline development for seamless model deployment, supporting automated testing across development, integration, deployment, and management, and helping ensure quality and security in line with industry standards and company policies.
• Partner across functions including data scientists, business analysts, software engineers, IT operations, quality assurance testers, and project managers to translate requirements into technical solutions integrated into production.
• Provide ongoing support for solutions, including incident and problem management, root cause analysis, request fulfillment, security compliance, fault repair, resiliency testing, and observability.
• Stay current with advancements in machine learning and MLOps, and explore innovative approaches to enhance the organization’s machine learning capabilities.

What you bring

• Bachelor’s Degree in Computer Science or Computer Engineering. In lieu of a degree, at least 9 years of experience in software development.
• 6+ years of experience across AI, ML, MLOps, and/or software development.
• Deep knowledge of SDLC methodologies and practices, especially MLOps and DevOps.
• Strong expertise with software development tools, platforms, and languages, particularly cloud platforms.
• Proven experience building, integrating, testing, and deploying software solutions for cloud-based or internet-related tools.
• Expert-level knowledge of relational databases and SQL.
• Strong written and verbal communication skills.
• Proven experience developing microservices and in-depth knowledge of integration patterns.
• Must be legally authorized to work in the United States without company sponsorship.
• Must be at least 18 years of age.

Technology focus

• CI/CD, MLOps, DevOps, SQL, Microservices, cloud platforms

Benefits

• Life with rewards, benefits, and flexibility to enhance your health and well-being.
• Career with opportunities to learn, develop new skills, and grow your contribution.
• Connection with an inclusive team and commitment to both the company’s and broader communities.
• World-class benefits spanning from retirement to health care, total well-being, and your daily commute.
• A general description of benefits is available at http://www.myswbenefits.com/.

Preferred qualifications

• Certified Software Development Professional (CSDP) or equivalent certification.
• Experience in GenAI.
• Ability to productionize applications externally-facing.