Senior Platform Engineer - ML Ops

Job summary

The Senior Platform Engineer – ML/Ops role is dedicated to developing the software ecosystem for implantable cardiac devices, enhancing the software development process. Key responsibilities include designing MLOps capabilities, improving cloud-based systems, and supporting the machine learning lifecycle, utilizing technologies such as Python, CI/CD pipelines, and cloud platforms like AWS and Azure.

Benefits

Qualifications

• Bachelor's degree (Level 8) in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical discipline
• minimum of 4 years of relevant experience
• Experience designing, developing, deploying, and operating cloud-native or distributed software systems
• Experience developing platform services, APIs, CI/CD pipelines, automation solutions, Infrastructure as Code
• Strong hands-on experience developing software solutions in Python
• Experience supporting machine learning development and deployment workflows
• Experience troubleshooting complex technical issues

Responsibilities

• Contributes to the design, implementation, and operation of shared platform and Machine Learning Operations (MLOps) capabilities
• Independently design and implement technical solutions for problems involving cloud, distributed systems, machine learning, data, infrastructure, or software engineering
• Design, build, and improve reusable services, automation, APIs, templates, CI/CD pipelines, Infrastructure as Code, and self-service capabilities
• Apply advanced technical knowledge to improve existing platforms, processes, systems, and engineering practices
• Support the end-to-end machine learning lifecycle and MLOps practices
• Own projects, processes, or technical outcomes within the job area
• Investigate difficult technical problems that may span multiple systems
• Lead or contribute to technical investigations and root-cause analysis
• Partner with software engineers, ML engineers, data scientists, architects, security specialists, data professionals, and infrastructure teams
• Contribute to platform roadmaps, project milestones, technical standards, and adoption plans
• Coach, review, and provide technical guidance to other engineers

Skills

Degrees

Relocation