Machine Learning Engineer (MLOps)

hirify.globalss="location">Location: Kansas City, Missouri, United States

hirify.globalss="company-description">Company

hirify.global is a national professional services firm providing wealth advisory, digital, audit, tax, consulting, and outsourcing services.

hirify.globalss="what-you-will-do">What you will do

• Assist with designing and developing MLOps infrastructure for deploying, managing, and monitoring machine learning models.
• Collaborate with data scientists and engineers to integrate data science and engineering processes.
• Maintain automated workflows and pipelines for model deployment and monitoring.
• Troubleshoot model performance, data pipeline, and infrastructure issues.
• Support secure, scalable infrastructure, documentation, and compliance with data security and privacy regulations.
• Translate business needs into technical requirements and stay current with machine learning and MLOps developments.

hirify.globalss="requirements">Requirements

• 2+ years of experience as a Data Engineer or Machine Learning Engineer.
• Bachelor’s degree required; equivalent relevant experience, education, and training may be accepted.
• Proficiency in Python and familiarity with cloud platforms such as AWS, Azure, or GCP.
• Basic SQL knowledge and experience designing or maintaining ETL pipelines and data transformations.
• Knowledge of CI/CD concepts and tools such as Jenkins, Git, or Perforce.
• Understanding of machine learning model deployment, monitoring, optimization, and DevOps principles.

hirify.globalss="culture-benefits">Culture & Benefits

• Collaborative environment within a Data Science Team.
• Flexible paid time off.
• Up to 12 weeks of paid parental leave.
• Paid volunteer time off, mental health coverage, and fertility benefits.
• Quarterly wellness stipend and comprehensive health, dental, vision, and 401(k) benefits.