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This Position reports to:

Senior Machine Learning Engineer:

What we believe in

Our mission in ABB IS (Information Systems) is to use information technology to provide valuable, reliable, and competitive IS services for ABB. If you offer deep technical experience, a methodical approach to solving problems, and the willingness to help us remain competitive, we want you on our team.

Your role and responsibilities

Own the stability, scalability, and performance of production-grade ML platforms by designing and enhancing backend services, orchestration layers, and system integrations that power critical ML workflows. Ensure resilient system architectures in distributed settings to preserve high availability, tolerate faults, and enable smooth operation. Own complex problem resolution and perform in-depth root-cause analysis across application, data, and infrastructure layers to reduce operational risk and downtime. Advocate for reliable deployment and DevOps workflows using Docker, Kubernetes (AKS), and CI/CD, ensuring configuration and release controls are applied. Act as a senior technical anchor for cross-functional teams and external vendors, translating complex ML and business requirements into resilient, scalable backend solutions.

The work model for the role is: Hybrid

You will be mainly accountable for:

• Oversee the design, improvement, and ownership of backend services that support ML workflows (model registry, deployments, APIs), ensuring well-architected systems across service boundaries, data flow, scalability, fault tolerance, performance, and maintainability, while advising internal teams and vendors on architecture.
• Diagnose and fix complex production incidents involving Spark jobs, Airflow pipelines, Azure ML runs, and AKS services through in-depth root-cause analysis across application, infrastructure, data, and configuration layers, while enhancing reliability, observability, and deployment stability.
• Design and maintain Dockerized services and Kubernetes (AKS) deployments, contribute to CI/CD pipelines, and establish best practices for configuration management, secrets handling, environment isolation, scaling strategies, upgrades, and rollback mechanisms.
• Serve as the primary technical contact, working with data scientists, ML engineers, business analysts, platform teams, and external vendors to convert business and ML workflow needs into scalable backend architectures, while coaching less experienced engineers on system design and complex debugging techniques.

Qualifications for the role:

• 3–5 years of experience as a Backend Engineer, Platform Engineer, Senior ML Engineer, or in a similar role.
• Demonstrated backend development skills in Python (or Java/Go) with direct experience creating APIs and services.
• Robust understanding of system design, covering distributed systems, microservices, scalability, fault tolerance, and reliability.
• Direct experience with AML and Airflow focused on platform or operational responsibilities.
• Working knowledge of Azure ML pipelines, endpoints, and deployment patterns.
• Solid practical experience with Docker and Kubernetes (AKS).
• Ability to identify and resolve complex production issues across application, data, and infrastructure layers.

More about us

At ABB IS (Information Systems), our mission is to apply information technology to deliver secure, reliable, and competitive digital solutions that create measurable value for ABB. Our commitment is to advance innovation, operational efficiency, and responsive business processes via reliable technical capabilities and strategic execution. If you possess deep technical capability, clear problem-solving skills, and the commitment to support our advancement in a rapidly developing landscape, we welcome you aboard

We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.

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