AI DevOps Engineer

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.
We are seeking an experienced AI Engineer with strong AI DevOps expertise to join our team and drive the development, deployment, and operationalization of enterprise AI solutions.
Education: BE, B Tech, MSc, MCA or equivalent degree in Computer Science, Electronics or related discipline.
Required Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, Data Science/related field.
3+ years of software engineering experience.
2+ years of experience working on DevOps or Generative AI solutions.
Strong programming skills in Python and/or C#.
Experience with REST APIs, microservices, and distributed systems.
Experience with CI/CD tools and DevOps practices.
Experience with Docker, Terraforms and Kubernetes.
Experience with cloud platforms such as Azure, AWS, or GCP.
Strong understanding of AI/ML lifecycle management and deployment practices.
Excellent analytical, troubleshooting, and communication skills.
AI DevOps & MLOps
Design, implement, and maintain CI/CD pipelines for AI and software applications.
Automate model deployment, testing, monitoring, and release processes.
Establish best practices for AI DevOps, MLOps, infrastructure & environment management.
Monitor and optimize AI application performance, scalability, reliability, and security.
Implement observability, logging, and governance frameworks for AI services.
AI Solution Development
Design, develop, and maintain AI/GenAI applications and services.
Build and integrate AI solutions using LLMs, AI frameworks, and enterprise platforms.
Collaborate with product owners, architects, and engineering teams to translate business requirements into AI-enabled solutions.
Develop APIs, services, and reusable components supporting AI workloads.
AI Cloud & Platform Engineering
Deploy and manage AI solutions across cloud environments.
Build and maintain containerized applications using Kubernetes and Docker.
Support infrastructure-as-code and automation initiatives.
Ensure high availability and operational excellence across development, testing, and production environments.
Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.
How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
To find out more about Healthineers’ specific businesses, please visit our company page here.
As an equal opportunity employer, we welcome applications from individuals with disabilities.
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