Auf einen Blick
- Aufgaben: Join our innovative team to develop cutting-edge machine learning applications across various industries.
- Arbeitgeber: Nuromedia is a dynamic software company focused on interactive applications and sustainable business models.
- Mitarbeitervorteile: Enjoy hybrid working, flexible hours, modern hardware, and a supportive international team atmosphere.
- Warum dieser Job: Be part of exciting projects that push the boundaries of technology while enjoying a balanced work-life culture.
- Gewünschte Qualifikationen: PhD or Master in relevant fields with 3+ years of machine learning experience and strong programming skills required.
- Andere Informationen: Work permit for Germany/EU is necessary; free job ticket and drinks provided in the office.
Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € pro Jahr.
Intro You love to develop computer systems that are able to learn? To expand our small and innovative team in Cologne (Germany) or in Spain we are looking for a passionate and future-oriented Machine Learning Researcher / Engineer (f/m/d) . Please note: Work permit for Germany/EU is required! Nuromedia is an international software company focused on interactive applications and conceives its own business models as a company builder. We develop digital solutions and sustainable business models for relevant markets. With our partners, we play to our strengths in research and innovation projects and for established customers. Current key areas are applications for e-health, smart industry, IoT, digital twin, gamification, machine learning/AI and e-learning. Our international team from 15 countries is primarily made up of developers, designers, artists and entrepreneurs. Our team combines competences such as software engineering, game development, 2D/3D animation, AR, MR & VR development, UI/UX design and IoT. YOUR ROLE: Together with experienced colleagues, you will push the boundaries of machine learning applications in different industrial verticals beyond state-of-the-art. Our research group explores innovative solutions based on machine learning in a wide area of applications such as mobility, health, or IIoT. While having a lot of freedom in our research projects, we always keep a potential commercialization of the developed products in mind. Your main tasks as Machine Learning Researcher / Engineer are the following: Tasks You will participate in international research and innovation projects that advance the state-of-the-art machine learning applications in different sectors (e.g., IIoT, health, mobility) You will be involved in the entire life cycle of the developed products: from research via development to deployment and monitoring You are responsible for the operations and the performances of machine learning applications and make sure that they work performant You will build partnerships across business units and external partners – corporations, universities, and customers You will be involved in building up a strong publication pipeline and present our research at international conferences Requirements Work permit for Germany/EU is required! PhD or Master in Computer science, computer engineering, electrical engineering, mathematics, or other related fields 3+ years of practical experiences in the area of Machine Learning You have a proven strong background in machine learning and artificial intelligence You have strong programming skills in one or several of Python, C/C++, and machine learning tools (TensorFlow, PyTorch, Caffe, …) You have excellent English skills; German is a plus You know the principles of OOP and are able to produce clean code, you are familiar with versioning systems (git) If you have experience with cloud platforms (AWS, Azure, GCP), embedded systems (Internet of Things), operating systems (Linux, …), this would be a plus You have strong communication and collaboration skills with colleagues, industrial and academic partners, and international research sitesYou are able to work independently with only minimal supervision, you organize your work effectively and with self-motivation Unfortunately, we can only consider applications from new employees already living in Germany or Spain. Benefits Hybrid working from contract location Germany/Cologne: Combination of mobile and office working Flexible working hours and trust-based working time Consideration for work-life balance Interesting prospects and exciting, challenging tasks A good, appreciative working atmosphere in an internationally active company Flat hierarchies and a relaxed working atmosphere Modern hardware provided by us The use of current development tools and techniques Diverse and varied tasks The opportunity to work on international projects Excellent opportunities for personal development through independent work What We Offer On Top: Stress-free way to work if you work at contract location Cologne/Germany: Free job ticket and parking space in front of the door if required Free drinks in the office Germany: Location in a lively, central district of Cologne Closing We offer a two step recruitment process: Step 1 – First video call – We would like to know more about your mindset, your skills and your personal expectation. Step 2 – If the first interview was OK for both sides, we will invite you to a technical interview. An expert will join that interview to have a technical conversation with you, which also may include some programming tasks. For us it is important to create a realistic environment within the recruitment process. This is helpful and senseful for both sides to get a better orientation. After the second step was successful we will make an offer to you. Together with passionate and talented candidates we want to continue our journey to create something new. Are you ready for this challenge? We look forward to receiving your application in English or German: jobs[at]nuromedia.[com]
Machine Learning / AI - Engineer (F/M/D) - Hybrid Working Arbeitgeber: Nuromedia GmbH
Kontaktperson:
Nuromedia GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning / AI - Engineer (F/M/D) - Hybrid Working
✨Tip Number 1
Make sure to showcase your practical experience in machine learning during the interview. Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them.
✨Tip Number 2
Familiarize yourself with the latest trends and advancements in machine learning and AI. This will not only help you in discussions but also demonstrate your passion for the field.
✨Tip Number 3
Since collaboration is key in this role, think of examples where you've successfully worked in a team or built partnerships. Highlight your communication skills and how they contributed to project success.
✨Tip Number 4
Prepare for the technical interview by brushing up on your programming skills, especially in Python and machine learning frameworks like TensorFlow or PyTorch. Practice coding problems that may be relevant to the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning / AI - Engineer (F/M/D) - Hybrid Working
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and AI. Include specific projects or roles that demonstrate your skills in Python, TensorFlow, or other relevant tools.
Craft a Strong Cover Letter: Write a cover letter that reflects your passion for machine learning and your interest in the company's innovative projects. Mention how your background aligns with their focus areas like e-health or IIoT.
Showcase Your Research Experience: If you have published research or participated in international conferences, be sure to include this information. It shows your commitment to advancing the field and your ability to collaborate with others.
Highlight Soft Skills: In addition to technical skills, emphasize your communication and collaboration abilities. The role involves working with diverse teams, so showcasing these skills can set you apart.
Wie du dich auf ein Vorstellungsgespräch bei Nuromedia GmbH vorbereitest
✨Show Your Passion for Machine Learning
Make sure to express your enthusiasm for machine learning and AI during the interview. Share specific projects or experiences that highlight your passion and how you have pushed the boundaries in this field.
✨Demonstrate Technical Proficiency
Be prepared to discuss your programming skills in Python, C/C++, and any machine learning tools you are familiar with, such as TensorFlow or PyTorch. You might be asked to solve a technical problem or complete a coding task, so practice beforehand.
✨Highlight Collaboration Skills
Since the role involves building partnerships across various business units and external partners, emphasize your communication and collaboration skills. Provide examples of how you've successfully worked in teams or with external stakeholders in past projects.
✨Prepare for the Technical Interview
The second step of the recruitment process includes a technical interview. Brush up on your knowledge of machine learning concepts and be ready to discuss your previous work in detail. Familiarize yourself with potential programming tasks that may be presented.