Data Scientist (MLOps Engineer)

H&R Block

4h • $91,000 - $145,600

About The Position

The MLOps Engineer is responsible for building and maintaining the infrastructure that supports the development, deployment, and monitoring of machine learning models. This role works closely with data scientists and ML engineers to streamline workflows, automate processes, and ensure the scalability and reliability of ML systems in production environments.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Proficiency in Python and experience with software development practices
• Strong problem-solving skills and attention to detail
• Experience working in collaborative, cross-functional teams

Nice To Haves

• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Hands-on experience with Docker, Terraform, and Azure DevOps

Responsibilities

• Design, implement, and maintain robust ML infrastructure and tooling
• Automate the deployment, monitoring, and scaling of ML models in production
• Collaborate with ML engineers and data scientists to streamline model development and deployment workflows
• Monitor and troubleshoot ML pipelines, ensuring system reliability and performance
• Support team members through code reviews and shared best practices
• Contribute to documentation and continuous improvement of MLOps processes

Benefits

• You’ll reap the rewards of helping others along with competitive compensation and benefits to support your health and well-being.
• Qualifying associates can enroll themselves and/or their eligible dependents in medical and prescription drug coverage; can participate in the H&R Block Retirement Savings Plan (401(k) Plan), the Employee Assistance Program, (virtual) fitness center programs, and the associate discount program; are automatically enrolled in Business Travel Accident Insurance; and receive Associate Tax Prep benefit.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees