Senior AI Engineer

• As an AI Engineer, with focus on A/ML-Ops, you’ll collaborate closely with our product and tech team to bring AI-driven features reliably into production and keep them running at scale
• Product ionizing AI/ML systems:
  Take models and AI features from prototype to robust, scalable, well-monitored production systems — designing the pipelines, infrastructure, and tooling that make this possible
• MLOps & Infrastructure:
  Build and maintain CI/CD pipelines, model deployment workflows, monitoring, and observability for AI/ML systems, including LLM-based and agentic applications
• End-to-End Development:
  Transform research insights into production-ready features through careful planning, prototype development, quality assurance, and seamless integration of AI functionalities
• Problem Solving & Innovation:
  With a curious and analytical mindset, you’ll ask the deeper “why” questions to uncover root problems, explore creative solutions, and bring them to life
• Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use
• While you’ll take on significant responsibility, you’re never alone. You can rely on a supportive team where knowledge-sharing and mutual growth are core values

Strong analytical, logical reasoning, skills with a creative approach to problem-solving

Minimum of 5 years of professional experience in:
Data-Sience, Machine learning, Deeplearning, MLOps Generative AI & AI-Agents. With a proven track record of developing and deploying AI-driven solutions in production environments. Focus is especially on bridge from prototype to bring it into production

Communication skills, collaborative attitude and ability to work effectively within a diverse team Strong Software-Engineering OR Data-Science background. Have a Bachelor’s degree in Computer Science, Software Engineering or comparable experience

Willingness to learn new technologies, work within uncertainties and adapt to changing requirements

We value diversity and are committed to creating an inclusive environment for all employees.