AI/ML DevOps Engineer (ZA)

Job description, responsibilities and duties

#AI #DEVOPS #GREENFIELD #NEWTEAM #PREDEVELOPMENT #HEALTHINEERS

In Siemens Healthineers we are looking how to streamline deployment of the AI / ML algorithms into our newest applications. We are forming new team to develop and deploy modern infrastructure which enables federated learning of our newest AI / ML algorithms on the medical data spread across the world. Instead of pulling the medical data to us, we will enable to train our AI/ML algorithms on the hospital premises. In this federated way of learning we will shorten time to market for our AI enabled applications. The team members will be developing rapid prototypes in Azure DevOps environment, microservices, docker images and Kubernetes cluster with deployments into cloud data center or on the hospital premises.

Are you hands on experienced software engineer, passionate about effective and automated software environment enabling quick container deployment? Are you keen on newest trends in AI / ML within healthcare domain? Do you like the feeling, that the results of your work are helping to save the lives? If you answered yourself multiple yes, you should probably pay attention to this opened job position, because it might be the right choice for your future job and carrier at Siemens Healthineers!

Responsibilities:
• Communicate with the project partners to understand their needs and align on the interfaces with the surrounding applications
• Understand the end to end use case and propose the solution’s architecture
• Development of the business logic (e.g. web pages) in lean and iterative way
• Continuous deployment of the software platform (Docker, Kubernetes) into the cloud environment
• Reflecting user feedbacks and change requests in short development cycles (sprints)
• Integrate advanced AI / ML algorithms into the platform business logic, clarifying the learning parameters and KPI’s with the data scientists
• Document the solution and share and hand over to the project partners

Expected qualification:
• Bachelor or Master of Science in Computer Science or related field
• Knowledge of DevOps approach, Docker and Kubernetes technologies
• Experience with deployment into cloud data centers – e.g. Microsoft Azure or other providers
• Data science and/or machine learning related experiences and relevant tools (e.g., ML flow, Kubeflow, python)
• Agile mindset
• Communication and presentation skills in English
• Communication in virtual environment (e.g. MS Teams, Webex etc.)
• Feedback culture and willingness to learn

Experience with any of following is of advance:
• Experience with Angular or another web framework (e.g. React)
• Experiences with or abilities to read and use various programming languages (e.g. Python, TypeScript, React, Java, …)
• Programming skills in C# or other object-oriented programming language(s), micro-services architecture, distributed computing, API management, data management
• Experiences or knowledge of problematics of responsive design, desktop or mobile targeted platforms

Required education, skills and personality requirements

Required education
University education (Bachelor's degree)

Other knowledge

We offer

• Adjustable standing desk as a standard
• MSDN license for each developer with prepaid access to AZURE
• Free access to PLURALSIGHT – the WBT platform
• Team building program - 2 days adventure offsite meeting for all employees every year, Christmas party, extra budget for team building events
• Participation on world famous IT conferences like Microsoft IGNITE for best employees
• Wide project portfolio in healthcare domain and job rotation within company (Cybersecurity, Artificial Intelligence, Healthcare IT services, …)
• Training and development program (business and product trainings, e-learning, language courses, soft skills trainings,…)
• Health program (contracted wellness providers, sport centers, salary reimbursement in case of illness)
• Retention program (work anniversary, life anniversary, additional pension plan, employee loans)
• Family care program (subsidy for newborns, maternity leave, kindergardens, summer camps)