Software Engineering Internship H/F

Key Skills

Aartificial intelligence, API, AWS, Data science techniques, Design, Infrastructure as code, Machine learning techniques

Job Description

Discover Philips Healthcare, world leader in Medical Imaging whose products in MRI, Scanner, Ultrasound, X-Ray etc. are recognized for their excellence and cutting-edge technology.

In summary, Cardiologs is dedicated to making specialized cardiac care accessible to more people through medical AI and cloud technology, with a flagship product that helps diagnose millions of patients each year. The acquisition by Philips is a testament to our growth and impact. Our work environment fosters ambition and collaboration, reinforced by a vibrant corporate culture.

Your main missions are to :

• Become familiar with ECG-as-a-Service (SaaS) workloads.

• Get familiar with Cardiologs' ECG analysis ML pipelines.

• Investigate cutting-edge solutions offered by cloud service providers (e.g. AWS).

• Design the streaming API and its supporting infrastructure from a SaaS service perspective.

• Design the streaming API and its supporting infrastructure from an ML inference perspective.

You are part of

A team led by Mathieu, Software Team and composed of 6 engineers, both Frontend and Backend. You will work alongside passionate colleagues in the field of AI, offering exceptional opportunities to acquire new technological skills.

• You are the right candidate if:

• You are a final year master's student in computer science, mathematics, data science or a related field

• You have good backend knowledge

• You have skills in Kubernetes and API level

• The world of health interests you

• You are autonomous, committed and enthusiastic with a positive, creative and stimulating mindset

• You are fluent in spoken and written English (you will work with native English speakers)

Internship based in Paris (75002)

About Philips

At Philips, our mission goes beyond our daily work. Together, we aim to improve the lives of 2.5 billion people by innovating across the health continuum. Our solutions have a direct impact on our everyday lives and that of our loved ones.

• Learn more about our activities here .
• Discover our rich and exciting history here .
• Learn more about our mission here .

You may be the ideal candidate for this or other positions at Philips. Learn more about our commitment to diversity and inclusion here .

Equal Opportunity Clause

We are deeply committed to promoting equal opportunities and diversity, with an emphasis on non-discrimination.

For candidates with disabilities, we are committed to providing reasonable accommodations throughout the recruitment process, as well as upon your arrival at our company. If you require a reasonable accommodation due to a disability at any stage of the employment process, please notify your recruiter.

For more information, read our Inclusion and Diversity Policy and, to learn more about your rights, we encourage you to review this report .

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ENGLISH VERSION

Your Key Responsibilities

• Acquaint yourself with ECG workloads as a service (SaaS).

• Familiarize yourself with Cardiologs' ML pipelines for ECG analysis.

• Study cutting-edge solutions offered by cloud service providers (e.g., AWS).

• Design the streaming API and its infrastructure from a SaaS service perspective.

• Design the streaming API and its infrastructure from the perspective of ML inference.

You'll be part of

A team led by Mathieu, the Software Team, consisting of 6 engineers in both Frontend and Backend roles. You will collaborate with passionate colleagues in the field of AI, providing exceptional opportunities to acquire new technological skills.

You're the ideal candidate if

• You are a final-year master's student in computer science, mathematics, data science, or a related field.

• You have a strong understanding of backend development.

• You possess skills in Kubernetes and API level.

• The healthcare industry interests you.

• You are autonomous, committed, and enthusiastic with a positive, creative, and stimulating mindset.

• You are fluent in spoken and written English (as you will collaborate with native English speakers).

Based in Paris 75002