MLOps Engineer
-
Groenlo
-
Healthcare
Your team is a multidisciplinary product team that falls under the Data Science group. The team consists of a UX designer/researcher and software developers with various specializations. You will be building a new product from scratch, where the team itself is responsible for using an iterative, exploratory process to discover how to leverage new technologies like generative AI and conversational agents to support healthcare workers with logistical challenges. In the long term, the experiences and insights gained from this product will form the foundation for applying these advanced technologies across all our products. You can also apply your knowledge more broadly within the Data Science group, allowing you to contribute not only to exploratory work but also to improving or expanding existing solutions.
Your team
Are you passionate about Machine Learning and do you want to apply it in a rapidly changing, innovative environment? We are looking for an MLOps Engineer to strengthen our newly formed team working on a cutting-edge product with a focus on generative AI. You play a crucial role in implementing and maintaining our machine learning infrastructure and workflows.
In this role, you will work closely with our data scientists, Natural Language Processing (NLP) specialists, and software engineers to ensure a seamless transition from development to production. You are open to new technologies and approaches, and use them to build the most effective and scalable machine learning systems.
Do you get excited about the idea of applying your technical skills in an innovative, AI-focused environment? Do you want to be part of a team developing new products to support the healthcare sector? Then we would like to hear from you!
Our offer
You will be working in an energetic work environment that inspires, with access to all the resources you need to perform your work optimally. You will have the flexibility to arrange your own workdays, and in addition, we offer excellent primary and secondary employment conditions.
- You will receive a thirteenth-month payment, participate in profit-sharing, which you can also use to obtain certificates of Nedap shares, and we provide an attractive pension scheme.
- You determine the work-life balance that suits you. We do not track working hours, days off, or vacation days. We trust you to take your own responsibility in this regard.
- Our people are the foundation of our success. That's why we are happy to invest in your development. We don't have a fixed development budget. In addition to participating in our comprehensive onboarding program, you will embark on a personal development journey, in which we explore your potential together and how we can further unfold it.
Want to learn more about our offering? Click here.
Required experience and skills
- You have a strong technical background, preferably in computer science, machine learning, data science, AI, or a related field.
- You have demonstrated experience with DevOps and MLOps.
- You have experience in setting up and maintaining machine learning infrastructure, including data pipelines and modeling.
- You are familiar with containerization (such as Docker) and orchestration tools (we use Nomad).
- You have experience with programming languages like Python and are familiar with machine learning libraries like TensorFlow, PyTorch, or similar tools.
- Experience with tools like LangChain and open-source Large Language Models (LLMs) like LLaMA is a plus.
- You are curious, eager to learn, and always looking for ways to enhance your technical skills and knowledge.
About Nedap Healthcare
We help care givers and nurses to save time on administrative tasks. With our technology, they are able to spend less time on registering, planning, reporting, and drawing up care plans, allowing them to devote more time to their patients. The family can also be informed immediately about the patient’s wellbeing at the touch of a button.
Life at Nedap
Application procedure
Became curious? Take on the challenge! Send your CV and/or motivation through the application button addressed to Michael von Harras. If you have any questions, feel free to contact Michael von Harras at michael.vonharras@nedap.com.
- 1 . Your application
- 2 . First interview
- 3 . Next meet & greet
- 4 . Offer
- 5 . High five!
Your application
You’ve applied? Awesome! We will reply to your application as fast as possible, but at least within 10 workdays via e-mail.
We respect your privacy, therefore you can only apply via our website. Applications via e-mail will not be accepted.
Questions? Get in touch with our recruiter
Michael von Harras
+31681034880
michael.vonharras@nedap.com