Job Title: Senior Applied AI Scientist Location: Munich Germany
Job Type: Full-Time Experience Level: Mid-Senior
Founded in 2020, DRIMCo GmbH is a Munich-based startup that digitises industrial requirements in tender documents and optimises business processes using artificial intelligence and natural language processing technologies. Our AI-NLP portfolio includes 15 patents and 20 scientific publications in the areas of transfer learning, lifelong continuous learning, representation learning, information extraction, topic modelling, deep learning, federated AI, etc. Our innovation team has an excellent track record in publishing scientific papers at top venues such as ICLR, ICML, AAAI, EMNLP, NAACL, COLING, etc.
We are looking for a passionate candidate in Mid-Senior Applied AI Scientist (Machine Learning / Natural Language Processing) role preferably in Munich, Germany to extend our team focusing on applied AI, improving AI product and bring to customers. Design, develop, and optimize machine learning, NLP and deep learning models that enhance product capabilities and user experiences.
Conduct cutting-edge research in artificial intelligence, machine learning, natural language processing, text analysis and deep learning, applying theoretical concepts to practical applications.
Publish research findings, contribute to patents, and represent the company at industry conferences and workshops.
Master’s or PhD in Computer Science, Machine Learning or Artificial Intelligence.
~5+ years of hands-on experience in AI/ML/NLP engineering, with a proven track record of deploying AI solutions in production.
~ Proficiency in programming languages such as Python or C++.
~ Deep expertise in machine learning, deep learning, NLP or computer vision.
~ Experience with cloud platforms (AWS, GCP, or Azure) and MLOps best practices (Docker, Kubernetes, RabbitMQ, Redis, etc.).
~ Familiar with building AI agents, document analysis, text processing, etc.
~ Contributions to open-source AI/ML projects.
Competitive salary and benefits
Flat hierarchies
Flexible work arrangements, including remote and hybrid opportunities.
Apply via Linkedin.