Skills

Full description

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
Productionizing 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. If you’re passionate about making a difference and eager to learn, we’d love to hear from you – even if you don’t meet every requirement

Senior AI Engineer

Compensation

Not disclosed

Location

Berlin, Germany

Work setup

Not specified

Seniority

Senior

Employment

Not specified

Experience

5+ years

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
Productionizing 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. If you’re passionate about making a difference and eager to learn, we’d love to hear from you – even if you don’t meet every requirement