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- Aufgaben: Join our agile IT team to build innovative AI/ML solutions.
- Arbeitgeber: Be part of a market-leading SaaS company focused on growth and innovation.
- Mitarbeitervorteile: Enjoy training opportunities, international projects, and a supportive team atmosphere.
- Warum dieser Job: Work in a multicultural environment with cutting-edge technology and a focus on continuous learning.
- Gewünschte Qualifikationen: Must have a degree in machine learning or related fields and 3 years of relevant experience.
- Andere Informationen: We value diversity and offer equal employment opportunities.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
What you’ll do
As a Machine Learning Engineer, you will be part of our international and agile IT Team. Together with your colleagues you will combine technical expertise with regulatory know-how to build innovative and cutting-edge AI / ML solutions for internal and external users.
- You will select, train and tweak AI Models with different datasets in an MLOps approach.
- You contribute to new architectural approaches for AI Models to accomplish tasks in the fields of NLP (LLMs), classification and regression.
- You will scrap, map, and implement data automation pipelines for preprocessing.
- You will work in a team dedicated to building AI/ML based solutions in our product landscape or introduce new products.
- You will work in a multicultural, international team in an agile environment.
Why we should decide on you
- Successfully completed university studies in the field of machine learning, computer science, mathematics or a similar area.
- At least 3 years of experience in the fields of full machine learning / AI development (in Python or R) and MLOps principles.
- You have worked with at least one of the following relational databases: PostgreSQL, Microsoft SQL Server, MySQL or Oracle.
- You have worked with any backend service written in Java, Python or R and exposed WebServices.
- You set a focus on quality and clean code.
- You have a hands-on mentality, a proactive and communicative personality, are open to innovation, eager to continually learn, and use feedback as a basis for optimization.
- You have a trusting & responsible mindset and enjoy working internationally in a constantly growing and agile team.
The following skills will be considered as an advantage:
- Experiences in modern web technologies, e.g., Angular and TypeScript.
- DevOps principles for Containers, Helm and K8s.
- Hands-On experience in GCP, Azure or AWS for MLOps.
Why you should decide on us
- Let’s grow together, join our market leading SaaS company – our agile character and culture of innovation enables you to design our future.
- We provide you with the opportunity to take on responsibility and participate in international projects.
- In addition to our buddy-program, we offer numerous individual and wide-ranging training opportunities during which you can explore technical and functional areas.
- Our internal mobility initiative encourages colleagues to transfer cross functionally to gain experience and promotes knowledge sharing.
- We are proud of our positive working atmosphere characterized by a supportive team across different locations and countries and transparent communication across all levels.
- Together we’re better – meet your colleagues at our numerous team events.
To get a first impression, we only need your CV and look forward to meeting you in a (personal/virtual) interview!
Recognizing the benefits of working in diverse teams, we are committed to equal employment opportunities regardless of gender, age, nationality, ethnic or social origin, disability, and sexual identity.
Are you interested? Apply now!
Role ID (B): ML01_2025
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Machine Learning Engineer - English speaker Arbeitgeber: Regnology Group GmbH
Kontaktperson:
Regnology Group GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Engineer - English speaker
✨Tip Number 1
Familiarize yourself with the latest trends in AI and machine learning, especially in NLP and MLOps. This will not only help you during the interview but also show your passion for the field.
✨Tip Number 2
Engage with our community on platforms like LinkedIn or GitHub. Share your projects or insights related to machine learning, which can demonstrate your expertise and proactive nature.
✨Tip Number 3
Prepare to discuss specific examples of your experience with relational databases and backend services. Highlighting your hands-on experience will resonate well with our team-oriented culture.
✨Tip Number 4
Showcase your ability to work in diverse teams by sharing experiences where you collaborated with international colleagues. This aligns with our multicultural environment and values.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer - English speaker
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, AI development, and MLOps principles. Include specific projects or achievements that demonstrate your skills in Python or R, as well as your familiarity with relational databases.
Showcase Relevant Experience: In your application, emphasize your hands-on experience with backend services and web services. Mention any relevant projects where you implemented data automation pipelines or worked with AI models, especially in NLP, classification, or regression.
Highlight Soft Skills: Since the role requires a proactive and communicative personality, make sure to include examples of how you've worked effectively in multicultural and agile teams. Discuss your approach to feedback and continuous learning.
Express Your Interest in Innovation: Convey your enthusiasm for innovation and your eagerness to take on responsibility in international projects. Mention any experiences with modern web technologies or cloud platforms that could set you apart from other candidates.
Wie du dich auf ein Vorstellungsgespräch bei Regnology Group GmbH vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning and AI development in detail. Highlight specific projects where you used Python or R, and be ready to explain your approach to MLOps principles.
✨Demonstrate Your Problem-Solving Skills
During the interview, present examples of how you've tackled challenges in previous roles. Discuss your experience with data automation pipelines and how you’ve optimized AI models for tasks like NLP, classification, and regression.
✨Emphasize Team Collaboration
Since you'll be working in a multicultural and agile team, share experiences that showcase your ability to collaborate effectively. Talk about how you communicate with team members and how you handle feedback to improve your work.
✨Express Your Eagerness to Learn
Convey your passion for continuous learning and innovation. Mention any recent courses, certifications, or technologies you've explored, especially in modern web technologies or cloud platforms like GCP, Azure, or AWS.
