Senior ML Engineer - MLOps & Cloud Solutions

The Sherwin-Williams Company; Cleveland (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

The Sherwin-Williams Company seeks a Senior Machine Learning Engineer to design, develop, test, and deploy ML models and data solutions for internal use. You will build scalable code, maintain CI/CD pipelines, and ensure robust testing and monitoring while collaborating with data scientists, software engineers, IT, and project managers.

Required are a CS/CE degree (or 7+ years of experience), 4+ years in ML/MLOps, cloud proficiency, and strong SQL.

Qualifications

• Bachelor's degree in CS/CE or equivalent experience required.
• 4+ years in ML, MLOps, or software development.
• Experience with SDLC, DevOps, and cloud platforms.
• Strong SQL, microservices, and integration patterns.

Responsibilities

• Design, develop, test, and deploy ML models and data solutions.
• Build and maintain CI/CD pipelines and MLOps practices.
• Collaborate with analysts, data scientists, and engineers to translate requirements.
• Provide incident support, monitoring, and documentation.

Skills

MLOps

Cloud platforms

CI/CD

Microservices

SQL

DevOps

SDLC

Communication

Software dev

Education

Bachelor's Degree in Computer Science or Computer Engineering

7+ years of software development experience

Tools

Databricks

Job description

The Sherwin-Williams Company seeks a Senior Machine Learning Engineer to design, develop, test, and deploy ML models and data solutions for internal use. You will build scalable code, maintain CI/CD pipelines, and ensure robust testing and monitoring while collaborating with data scientists, software engineers, IT, and project managers.

Required are a CS/CE degree (or 7+ years of experience), 4+ years in ML/MLOps, cloud proficiency, and strong SQL.