Senior Artificial Intelligence/Machine Learning Engineer (w/m/d)

Senior Artificial Intelligence/Machine Learning Engineer (w/m/d)

Mein Klient gehört zu den führenden Unternehmen in der IT-Branche und konzentriert sich darauf, die Kerngeschäftsprozesse ihrer Kunden zu optimieren. Mit Hilfe intelligenter, maßgeschneiderter IT-Lösungen unterstützen sie ihre Kunden dabei, das volle Potenzial ihres Unternehmens und modernster Technologien auszuschöpfen. Ihr Erfolg hängt jedoch von einem entscheidenden Faktor ab: den talentierten Mitarbeitern! Sie vereinen Ideen, fachliches Wissen und Technologiekompetenz und gestalten gemeinsam die Zukunft.

Position Details

• Role: Senior Artificial Intelligence/Machine Learning Engineer (w/m/d)
• Employment Type: Full-time, permanent
• Salary: Based on professional experience
• Location: Nationwide locations in Germany
• Reference: 26697

Mein Kunde sucht engagierte Machine Learning-Enthusiasten, die umfangreiche Erfahrungen in diesem Bereich gesammelt haben. Wenn Sie Freude an der Automatisierung von Prozessen, insbesondere von ML-Pipelines und Deployments, haben, könnten Sie perfekt ins Team passen. Als Teil des Teams arbeiten Sie als Artificial Intelligence/Machine Learning Engineer daran, intelligente ML-Pipelines und Workflows zu konzipieren und zu entwickeln. Dabei liegt der Fokus nicht nur auf der Automatisierung des Data Science-Prozesses, sondern auch auf der Bereitstellung automatisierter Infrastrukturen für den Klient und dem Kunden.

Your Responsibilities:

• Design and implement advanced AI solutions for various industries, with a focus on cloud infrastructures.
• Contribute to the improvement and automation of existing AI solutions to ensure continuous development of customer AI products.
• Automate training and release processes for ML models, and support clients in selecting and implementing advanced frameworks and AI platforms.
• Help clients identify and implement innovative AI use cases and develop new data-driven business models.

Your Profile and Experience:

• Completed degree in Business Informatics, Computer Science, or a comparable qualification.
• Minimum of five years of relevant professional experience (internships or research assistant roles are not considered for this position).
• Strong background in Machine Learning with experience in developing, implementing, and maintaining ML models in production environments.
• Advanced skills in Python and experience with MLOps tools such as MLflow, KubeFlow, and common Machine Learning libraries.
• Experience with large datasets and Infrastructure as Code tools like Terraform or ARM is beneficial.
• Very good German (minimum C1) and good English skills (written and spoken).

What We Offer:

• Attractive compensation with annual bonus, capital-forming benefits, and employee discount program.
• Flat organizational structure enabling flexible working hours and a healthy work-life balance.
• Home office options and 30 days of annual leave.
• Wide range of training opportunities and a clear career progression model for continuous personal and professional development.
• Good public transport links, nearby S-Bahn and bus stations, discount programs, health management, company sports, and childcare facilities.

You will enjoy a pleasant working atmosphere characterized by collegiality, a familial environment, and equality. Collaboration, team spirit, and respectful interaction are fostered. Diversity and different perspectives are welcomed, embodying a unique sense of community.

If you are interested and see yourself in one of these roles, we look forward to receiving your application, including your CV, salary expectations, and notice period. I am available by phone for further information.

Even if this offer doesn't perfectly match your expectations, feel free to contact us. We regularly have various open positions in collaboration with different companies. We maintain close relationships with decision-makers and will surely find something suitable for you!

Your Contact Person

• Selma Wittmann
• s.wittmann@karesources.com
• 0049 22828659415