Machine Learning Ops Engineer

Every career journey is personal. That's why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here. Job Summary The AI Operations Production Support Specialist, 2 is responsible for ensuring the stability, performance, and availability of production systems through the application of Artificial Intelligence for IT Operations (AIOps) tools and methodologies. This role involves managing and optimizing AIOps platforms to proactively detect, diagnose, and resolve operational issues before they impact the business. The Support Specialist automates monitoring and support tasks, drives continuous improvements, and works closely with cross-functional teams to maintain efficient production operations. The position requires a strong background in IT operations, incident management, automation, and a deep understanding of AIOps technologies to enhance overall system reliability and efficiency. Essential Job Functions Provide L1, L2, and L3 support for AIOps products. Monitor and support operations, addressing client queries and ensuring smooth functionality, execution and troubleshooting. Analyze and interpret data effectively. Develop and maintain Python scripts. Independently understand and address client requirements and queries. Perform detailed data analysis to support decision-making processes. Collaborate with different teams to implement models and monitor outcomes. Provide updates to stakeholders on status of deployments and any risks and issues. Keep up to date with the latest technology trends. Continuously improve models and techniques to adapt to new data patterns and trends. - Minimum Qualifications Bachelor’s Degree in Computer Science, Engineering, or related field of study. 2+ years experience as a Production Support Analyst in AI Operations, Machine Learning Engineering, Data Science, Data Engineering, DevOps, Analytics, or related fields, with a focus in retail financial services or information technology fields utilizing agile methodologies. Preferred Qualifications 5+ years of experience in AI Operations, Machine Learning Engineering, Data Science, Data Engineering, DevOps, Analytics, or related fields. Skills DevOps ServiceNow Platform Azure Devops GitHub Machine Learning Data Analysis Microsoft Excel JIRA Tool Artificial Intelligence (AI) Reports To : Manager and above Direct Reports : 0 Work Environment Normal office environment (Hybrid), 6 to 8 days per month are required in the office. Other Duties This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time. About Bread Financial® At Bread Financial, you’ll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We’ve been consistently recognized as a best place to work nationally and in many markets and we’re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled—both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression. Bread Financial® (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending and saving solutions to millions of U.S. consumers. Our payment solutions deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, technology, electronics, jewelry, home and specialty apparel through our co-brand and private label credit cards and pay-over-time products providing choice and value to our shared customers. Additionally, we offer Bread Financial general purpose credit cards and saving products that empower our customers and their passions for a better life. Bread Financial proudly marks 30 years of success in 2026. To learn more about our global associates, our performance and our sustainability progress, visit or follow us on Instagram and LinkedIn . All job offers are contingent upon successful completion of credit and background checks. Bread Financial is an Equal Opportunity Employer. Job Family: Data and Analytics Job Type: Regular