DevOpsMLOps Engineer

Donaldson is committed to solving the worlds most complex filtration challenges. Together we make cool things. As an established technology and innovation leader we are continuously evolving to meet the filtration needs of our changing world. Join a culture of collaboration and innovation that matters and a chance to learn effect change and make meaningful contributions at work and in communities.

Role Overview:

We are seeking a Dev/MLOps Engineer to be the backbone of our AI tool development and deployment efforts. This role sits at the intersection of data science engineering and cloud infrastructure ideal for someone passionate about building scalable automated and production-grade AI systems.

You will collaborate with data scientists business stakeholders and cloud engineers to transform prototypes into reliable high-performance applications. Your work will power predictive analytics GenAI solutions and interactive dashboards used by our business leaders.

Key Responsibilities

• Work with data scientists to turn ML and GenAI experiments into scalable production pipelines.
• Build and maintain shared code repositories and reusable components.
• Design CI/CD pipelines in Azure DevOps to deploy models APIs and GenAI tools.
• Containerize applications using Docker and deploy them using cloud-native services.
• Automate infrastructure setup using Terraform and manage schemas in Azure and Snowflake.
• Deploy and manage GenAI apps such as chatbots RAG systems and predictive tools.
• Monitor model performance token usage and system reliability.
• Set up alerts rollback plans and observability tools to ensure stability.
• Take part in code reviews and suggest workflow improvements.

Required Skills

• Bachelors or Masters degree in Computer Science Engineering Data Science or a related field.
• 2-3 years of experience in ML engineering MLOps platform engineering or DevOps role with exposure to Gen AI/ML workflows.
• Technical Skills
  • Strong proficiency inPythonBash and scripting for automation & CI/CD tools.
  • Hands-on experience withCI/CD tools (Azure DevOps preferred)
  • Experience with Docker and cloud-native services (Azure & Snowflake preferred).
• Soft Skills
  • Strong problem solving & debugging skills
  • Excellent communication & collaboration abilities
  • Willingness to learn experiment & contribute to evolving practices

Why Join Us

• Be part of a growing team shaping the future of internal AI tools and automation.
• Work on impactful projects that directly support business decision-making.
• Enjoy a culture that values innovation ownership and cross-functional collaboration.

Employment opportunities for positions in the United States may require use of information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.

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Our policy is to provide equal employment opportunities to all qualified persons without regard to race gender color disability national origin age religion union affiliation sexual orientation veteran status citizenship gender identity and/or expression or other status protected by law.