Senior Azure ML Ops Engineer

Harley-Davidson

230d • $99,200 - $153,900 • Onsite

About The Position

At Harley-Davidson, we are building more than machines. It's our passion and commitment to continue the evolution of this storied brand, and heighten the desirability of the Harley-Davidson experience. To keep building our legend and leading our industry through innovation, evolution, and emotion we need the best and brightest talent. We stand for the timeless pursuit of adventure. Freedom for the soul. Are you ready to join us? We maximize employee flexibility and well-being through a virtual mindset that supports our highly distributed, global workforce. We take an outcome-focused, people-centered approach to winning, including welcoming the best talent - wherever they may be. This remote role is not tightly linked to a physical location and provides flexibility in when and how you accomplish your work. Remote employees are expected to have a dedicated, quiet and distraction-free work space and an internet connection that's sufficient for completing their job remotely.

Requirements

• 5+ years of experience in data engineering or DevOps roles, with a focus on ML/AI platforms and infrastructure.
• Proven experience in operationalizing and automating ML and GenAI solutions in production environments.
• Strong experience with cloud platforms (AWS, Azure, GCP) and managing infrastructure for data and machine learning systems.
• Proficiency in Python, SQL, and ML/AI DevOps tools (e.g., MLflow, Kubeflow, TensorFlow Extended).
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI) and containerization/orchestration tools (Docker, Kubernetes).
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data pipeline tools (e.g., Apache Airflow, dbt).

Nice To Haves

• Bachelor's or Master's degree in Computer Science, Data Engineering, Machine Learning, or a related field.

Responsibilities

• Design, develop, and maintain scalable platforms for machine learning and GenAI, supporting end-to-end processes from data ingestion to model deployment and monitoring.
• Implement CI/CD pipelines for automated deployment of ML and AI models to production environments.
• Work closely with data scientists to ensure model readiness and optimization, focusing on robust deployment and monitoring.
• Develop and manage tools for continuous monitoring and performance management of models post-deployment to identify and resolve performance drift.
• Partner with data scientists, software engineers, product owners, and stakeholders to align ML and AI solutions with business goals and performance metrics.
• Facilitate seamless integration of ML/AI systems with business processes, ensuring data accessibility, quality, and real-time insights.
• Ensure systems are built for scalability, maintainability, and security, adhering to best practices in ML & AI DevOps.
• Implement monitoring solutions to proactively address any issues in data, model performance, or infrastructure.
• Integrate AI ethics and compliance considerations into all ML/AI solutions, with a focus on data privacy, bias detection, and model transparency.
• Implement processes to meet regulatory requirements and promote responsible AI use.

Benefits

• Annual bonus programs
• Health insurance benefits
• 401k program
• Onsite fitness centers and employee stores
• Employee discounts on products and accessories

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Transportation Equipment Manufacturing
• Education Level: Bachelor's degree