Design, implement, and evaluate large-scale language models and generative AI use cases
Consult business partners in cooperation with data engineers to create business cases & find the best possible solution for their processes
Optimize the performance, scalability, and reliability of language, vision models, and generative AI systems.
Communicate the results and insights of machine learning experiments and projects to stakeholders and clients.
Regularly validate and develop further AI solutions based on customer/user feedback
Driving the roll-out of AI/ML across the R&D teams through knowledge sharing, supporting training, and raising awareness.
Being up to date on the latest developments in data science, AI/ML principles and theories to help the business make truly data-driven decisions.
Requirements & Skills:
Master’s degree or PhD in computer science, machine learning, natural language processing, or related fields.
Proven analytical skills and profound expertise in data science with a focus on Generative AI, LLMs, NLP, and other artificial intelligence methods
Passion for AI, data, and analytics
Strong proficiency in programming languages such as Python, good knowledge in the application of statistical modelling as well as experience in deployment and cloud computing.
Interest in dealing with business processes and technical challenges in order to derive optimization potential
Deep knowledge in at least one Machine learning environment (SageMaker, AI Studio, WatsonX, or comparable)
Willingness to travel with a focus on central Europe (~25%)
Fluent English skills
Excellent problem-solving, analytical, and communication skills.
Agile mindset and organizational/planning skills with the ability to work on multiple complex projects
