Preferred Qualifications
- Bachelor’s degree in computer science, engineering, or a related field.
- 3+ years of experience in machine learning operations, DevOps, or machine learning platform engineering with direct experience in pipeline development and model deployment
Job Summary
Transform machine learning models into stable, production-grade services by creating automated build and deployment pipelines, deploying containerized inference services, and configuring orchestration workflows. Define service benchmarks, implement drift and quality checks, and maintain secure configurations to ensure consistent and efficient performance at scale.
Major Tasks, Responsibilities, and Key Accountabilities
- Implements versioning, monitoring, and rollback mechanisms across the machine learning lifecycle.
- Partners with machine learning engineers to establish scalable, reliable integrations and service level agreements.
- Configures dashboards and alerts to continuously track model performance, data drift, and overall system health.
- Automates job scheduling, canary releases, and other operational tasks using workflow management tools.
- Manages the deployment of containerized microservices on Kubernetes and other cloud-native platforms.
- Maintains comprehensive documentation, including deployment playbooks and incident response procedures.
- Participates in incident response and root cause analysis to drive continuous system improvement.
- Contributes to engineering standards that promote collaboration, system resilience, and customer impact.
Nature and Scope
- Demonstrates skill in data analysis techniques by resolving missing/incomplete information and inconsistencies/anomalies in more complex research/data.
- Nature of work requires increasing independence; receives guidance only on unusual, complex problems or issues. Work review typically involves periodic review of output by a supervisor and/or direct customers of the process.
- May provide general guidance/direction to or train junior level support or professional personnel.
Work Environment
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
- Typically requires overnight travel less than 10% of the time.
Education and Experience
- Typically requires BS/BA in a related discipline. Generally 2-5 years of experience in a related field OR MS/MA and generally 2-4 years of experience in a related field. Certification is required in some areas.
Our Goals for Diversity, Equity, and Inclusion
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
Equal Employment Opportunity
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
