Senior AI/Data Science Engineer

Key Skills

Aartificial intelligence, Computer Vision (CV), Data science techniques, Data Visualization, Deep Learning, Effective communication skills, Keras software library, Machine learning techniques, NumPy, OpenCV, Python Programming, PyTorch, Scikit-learn, TensorFlow

Job Description

A Day in the Life 

As a Senior Computer Vision Engineer within the Innovation team, you will help to design, implement, and test Machine Learning frameworks to support other engineers and researchers of the team. You will become part of a talented team exploring new concepts through fast iterative prototyping. You will collaborate as a computer vision and machine learning expert with our other machine learning engineers, platform engineers and research experts of the team

Our computer vision/machine learning team is responsible for developing solutions that allow us to scale our automatic understanding from raw video data. This includes (but is not limited to) performing tasks such as object detection, localization and tracking, segmentation and scene understanding. For these tasks, we rely on video data recorded during the procedure.

You will be:

• responsible for developing machine learning models for video and image analysis
• asked to deliver well-written and high-quality code asked to present your results (we share our findings with team mostly during our catch-up meetings)
• required to keep yourself updated with state-of-the-art methods and to be capable of coming up with new and novel solutions for problems at hand (we try to devote time to do research and share it with the team)

Must Have

• A Master or PhD in, Computer Science, Mathematics, Computer Vision/Machine Learning or similar related field.
• Proven ability of results driven application of machine learning.
• Very knowledgeable in Python and relevant numerical libraries (numpy, scikit-learn, opencv, etc.)
• Computer Vision

Nice to Have

• Proven knowledge of at least one of the main deep learning frameworks (Pytorch, Tensorflow, Keras...)
• Data visualization experience would also be useful for this role
• Excellent communicator - You are comfortable talking with programmers, marketers, surgeons, business leaders, and everyone in-between 

We Offer 

We offer a competitive salary and benefits package to all our employees: 

• Flexible working environment 
• Annual Incentive Plan % depending on company results 
• Pension scheme and group discount on healthcare insurances
• Training possibilities via Cornerstone/Harvard Manage Monitor/Skills Lab 
• Employee Assistance Program and Recognize! (our global recognition program) 

About Medtronic 

Bold thinking. Bolder actions. We are Medtronic. 

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 90,000+ passionate people. Powered by our diverse knowledge, insatiable curiosity, and desire to help all those who need it, we deliver innovative technologies that transform the lives of two people every second, every hour, every day.

When joining Medtronic, you’ll become part of a company that is recognised as a Top Employer for 2022 in multiple countries throughout Europe. Every day we strive to engineer the extraordinary all the while delivering excellent employee experiences and practices benefitting you and your career. Read more about Top Employers. 

Expect more from us as we empower insight-driven care, experiences that put people first, and better outcomes for our world. 

In everything we do, we are engineering the extraordinary. 

Inclusion, diversity, and equity (ID&E) play a critical role in driving our competitiveness, bringing more creativity, better decision-making, and enhanced innovation. This helps ensure our lifesaving technologies reach more patients around the world. 

Our unwavering commitment to ID&E means working toward zero barriers to opportunity. It also means promoting a culture where all employees feel they belong, are respected, and feel valued for who they are. We know equity reaches beyond our workplace, and we take an active role in addressing systemic inequities in our communities. .