Senior AI Engineer
traide · Berlin, Germany ·
- Seniority
- Senior
- Category
- AI engineering
- 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