Senior machine learning engineer job (Headquarters Best)

Topic Healthcare Solutions is an innovative company in the healthcare field. Our vision is to make operation rooms more transparent for hospital staff and patients while maintaining the privacy of both. Our goal is to improve the efficiency of the processes and logistics around the operation room in every hospital.

With this goal and vision, Topic Healthcare Solutions has developed the WISH system. WISH is comprised of a set of sensors that collect data from the operation rooms, a cloud system that deals with the hospital information and the sensors data, and a multi-OS application that serves as the user interface of the system.

The WISH sensors have the capability of tracking the activities inside an operation room in real time. The data gathered by the sensors is later on used to create statistical models that will improve the logistics around the operation rooms. The statistical models need to be self-learning, flexible and easily adaptable to procedure changes in the hospital.

Topic Healthcare Solutions is now searching for a machine learning expert. We are looking for a senior engineer with several years of experience analyzing data. The ideal candidate will hold a PhD in any of the following areas: Engineering, Physics, Applied mathematics, Computer Science, or Statistics. A master degree with enough years of the right experience (minimum 7 years) will also be considered.

Our organization

TOPIC Embedded Systems is the trusted and certified development partner for products or “products-to-be”. With our growing team of 150 employees we specialize in system development in which embedded software and digital hardware are key. We apply our expertise from the very first idea, through design and development to manufacturing and the introduction on the market. The quality of our work and processes are certified by international ISO-13485 standards. We are proud of the many long-lasting relations we have built with our customers. We help them expand their market and together we make the world a little better, smarter and healthier every day.

Our services consist of technical consulting, in-house project implementation and the development of our own hardware and software products.

  • Agile, C++, Python, JAVA, Tensorflow, Keras, Docker
  • Location Noord-Brabant

Your job:

As a driven, enthusiastic and ambitious Machine Learning Engineer you improve, design, develop, configure, and test our statistical models, you do this in an Agile work environment. You will be analyzing data and to be successful you are proficient in several of the following topics as time series analysis, Classifications algorithms, Regression algorithms, Neural Networks. You are self-driven, self-motivated, challenge-driven, and a team player.

Besides your technical skills you are also able to communicate effectively both within the design team and directly with our suppliers and customers.

Your profile:

  • You hold a PhD in Engineering, Physics, Applied mathematics, Computer Science, or Statistics;
  • Or a master degree with at least 7 years of experience;
  • You have experience in projects started from scratch and lead directly to a successful conclusion;
  • Topic way of working is based on AGILE, therefore AGILE experience is a plus;
  • The successful candidate has to be able to produce high-quality production code;
  • He or she is expected to be proficient in Python (Pandas, Numpy, and Statistical Libraries) , C++ or Java;
  • Experience using Tensorflow and Keras or similar libraries is expected. Scripting knowledge in bash is a plus;
  • Experience with Docker is highly appreciated.

TOPIC offers you an employment contract for an indefinite period and…

  • Interesting, challenging and complex projects:
  • An ambitious work environment at our amazing office in Best;
  • Plenty of room for development, both technically and personally; Good coaching by your Business Manager
  • An excellent salary with a first-class benefit package such as 13th month, company car etc.;
  • Informal and amicable atmosphere;
  • Our own gym and fresh fruit;
  • 150 world class colleagues.

Interesting for you?

Apply now or call, email, text message or WhatsApp Naïma

  • Naïma Hamdaoui
  • Corporate Recruiter

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