AI Ops Support Engineer at Experian

Sepang, Selangor, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

0.0

Posted On

22 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Generative AI, Data Science, APIs, RPA, SQL, NoSQL, Cloud Computing, AWS, Azure, GCP, Telemetry, CI/CD, DevOps, Automation, Troubleshooting

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description Role Summary: We are looking for a passionate and detail-oriented AI Ops Engineer to support and enhance our automation ecosystem. The ideal candidate will play a key role in monitoring, maintaining, and troubleshooting RPA workflows, APIs, telemetry systems, databases, and cloud operations. The role involves close collaboration with cross-functional teams under Agile & Kanban frameworks. This is a highly hands-on role best suited for someone who loves technology, analytical problem-solving, and continuous learning. What you’ll need to bring to the role & Experian Understanding of machine learning and generative AI concepts, and data science principles. Work with APIs and MCP (Model Control/Management Platforms) for deployment, configuration, testing, and support. Perform L1 & L2 operational support, including root-cause analysis and escalation management. Maintain and query Databases (SQL / NoSQL) for logs, performance insights, and investigation. Support deployment, testing, and monitoring across cloud servers (AWS / Azure / GCP). Maintain and organize work progress using Kanban boards and Agile methodology. Document operational processes, FAQs, and troubleshooting playbooks. Work that matters - What you’ll be doing Ensure our automation systems operate seamlessly, helping hundreds of workflows run with minimal manual effort and maximum efficiency. Be the first line of intelligence in detecting and preventing failures, reducing downtime and safeguarding business continuity. Translate telemetry insights into meaningful action, turning logs and metrics into stability, performance improvements, and smarter automation. Support and optimize RPA workloads that eliminate repetitive work — helping teams focus on high-value business tasks instead of manual operations. Work closely with developers, business teams, and cloud engineers to keep our AI/automation ecosystem scalable, secure, and predictable. Help build operational playbooks and guidelines, ensuring fast knowledge transfer and self-serve troubleshooting for the team. Strengthen data accuracy and accountability by ensuring error logs, databases, and API events are tracked and acted on proactively. Why this role is important to us This role is critical because our automation and AI operations are the backbone of business efficiency. The AI Ops Engineer ensures that every automation runs reliably, every alert is acted on, and every breakdown is prevented — directly protecting customer experience, business continuity, and operational scalability. Without this role, our growth slows; with it, we scale confidently. Qualifications More About You: A Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Minimum 4 years+ of experience on support and troubleshoot automation workflows (Automation Anywhere / Python) Experienced/exposed to monitor and analyze Telemetry logs, performance dashboards, and error alerts. Familiarity with cloud computing platforms such as AWS, GCP, or Azure is a plus Some knowledge of CI/CD pipelines and DevOps practices is beneficial but not required (ex: Jenkins and Docker) Additional Information Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in talented people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,200 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Technology Schedule: Full Time

Responsibilities

The AI Ops Engineer will monitor, maintain, and troubleshoot automation systems, ensuring seamless operation of workflows. They will collaborate with cross-functional teams to optimize RPA workloads and document operational processes.