Senior Azure ML Ops Engineer

Harley-Davidson; Milwaukee (WI); On-site; USD 99,000 - 154,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Engineer specializing in ML and AI. This remote position offers the chance to design, develop, and deploy cutting-edge machine learning platforms that solve real business challenges. You will work closely with cross-functional teams to ensure seamless integration of AI solutions, focusing on scalability, reliability, and ethical compliance. If you have a passion for innovation and a strong background in data engineering, this is your opportunity to make a significant impact in an exciting and dynamic environment.

Benefits

Annual bonus programs

Health insurance benefits

401k program

Onsite fitness centers

Employee discounts on products and accessories

Qualifications

• 5+ years in data engineering or DevOps roles focused on ML/AI.
• Experience operationalizing ML and GenAI solutions in production.

Responsibilities

• Design and maintain scalable ML and GenAI platforms.
• Implement CI/CD for automated deployment of ML models.

Skills

Python

SQL

ML/AI DevOps tools

Collaboration & Communication

Problem-Solving

Ethics and Compliance

Education

High school diploma or equivalent

Bachelor’s or Master’s degree in Computer Science or related field

Tools

MLflow

Kubeflow

TensorFlow Extended

Jenkins

GitLab CI

Docker

Kubernetes

Apache Airflow

dbt

Job description

Auto req ID: 30671
Title: Senior Data Engineer - ML & AI
Job Function: Information Technology
Location: Remote
Company: Harley-Davidson Motor Company
Full or Part-Time: Full Time

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?

This remote role is not tightly linked to a physical location and provides flexibility in where, 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.

Job Summary

We are looking for a skilled Sr. Data Engineer - ML & AI Operations to join our growing team. In this role, you will be responsible for designing, developing, and deploying machine learning and generative AI (GenAI) platforms to deliver high-impact solutions to business challenges and optimize processes. This role focuses on the operationalization and automation of machine learning and AI solutions, ensuring they are seamlessly integrated into production environments with a high degree of scalability, reliability, and compliance with ethical guidelines.

The ideal candidate will bring strong technical expertise in data engineering, a deep understanding of ML and AI DevOps best practices, and a commitment to building robust, maintainable systems. If you are passionate about creating and operationalizing transformative ML and AI solutions, we’d love to hear from you!

Key Responsibilities

1. Platform Design & Development: Design, develop, and maintain scalable platforms for machine learning and GenAI, supporting end-to-end processes from data ingestion to model deployment and monitoring.
2. Model Deployment & Automation: 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.
3. Collaboration and Business Alignment: 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.
4. Operationalization & Maintenance: 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.
5. Ethics and Compliance: 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.

Education Requirements

• High school diploma or equivalent is required.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related field is preferred.

Qualifications and Requirements

Experience:

• 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.

Technical Skills:

• 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).

Key Skills and Competencies

• Technical Acumen: Strong knowledge of ML/AI lifecycle management, MLOps practices, and data pipeline optimization.
• Collaboration & Communication: Excellent teamwork skills with an ability to work closely with cross-functional teams and communicate complex technical concepts effectively.
• Problem-Solving: Proactive approach to identifying and solving issues in model performance, data quality, and infrastructure bottlenecks.
• Ethics and Compliance: Deep understanding of responsible AI practices, including bias detection, explainability, and data privacy.

Harley-Davidson is an equal opportunity employer that continues to build a culture of inclusion, belonging and equity through our commitment to attracting and retaining diverse talent from all backgrounds, without regard to race, color, religion, sex, sexual orientation, national origin, gender identity, age, disability, veteran status or any other characteristic protected by law. We believe in fairness and providing a level playing field for all. We foster a culture that thrives on diverse perspectives and contributions to ignite the creativity and innovation to fuel our business and enhance the employee and customer experience.

The pay range shown represents the national average pay range for this role. Your pay may be more or less than the stated range and is dependent on your geographic location and level of experience.

We offer an inclusive compensation package for all full-time salaried employees including, but not limited to, annual bonus programs, health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee discounts on products and accessories, and more.

Applicants must be currently authorized to work in the United States.

Direct Reports: No
Travel Required: 0 - 10%
Pay Range: $99,200-153,900
Visa Sponsorship: This position is not eligible for visa sponsorship
Relocation: This position is not eligible for relocation assistance

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