Lead AI / Machine Learning Engineer

Sherwin-Williams is looking for a Lead AI / Machine Learning Engineer to own the end-to-end lifecycle of machine learning and data solutions, including cloud-based and internet-related tools. This remote role partners closely with cross-functional teams to deliver production-ready models and scalable software components using established MLOps practices. The position also emphasizes operational excellence, documentation quality, and continuous improvement through research and innovation.

What you’ll do

• Oversee the design, development, and deployment of machine learning models and other data solutions aligned to business requirements and technical specifications.
• Lead model training and validation, optimize for performance and accuracy, and apply techniques for improvement and fine-tuning.
• Set strategic direction for writing high-quality, maintainable, and scalable code.
• Create and maintain technical documentation covering model development processes, deployment workflows, operational procedures, code comments, design documents, and user manuals.
• Drive MLOps implementation by guiding CI/CD pipeline development for seamless model deployment, supporting automated testing across development and integration, and helping ensure quality and security in line with industry standards and company policies.
• Foster collaboration across data scientists, business analysts, software engineers, IT operations, quality assurance testers, and project managers to translate business requirements into solutions integrated into production environments.
• Provide ongoing solution support 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 strengthen the company’s machine learning capabilities.

What you bring

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

Technologies

• CI/CD
• MLOps
• DevOps
• SQL
• Microservices
• Cloud platforms

Compensation

USD 127,939 - 165,732 per year.

Benefits

• Life … with rewards, benefits and the 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 our own and broader communities
• From retirement to health care, from total well-being to your daily commute—world-class benefits
• A general description of benefits offered can be found at http://www.myswbenefits.com/

Preferred qualifications

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