
Artificial Intelligence Specialist
Há 1 mês
As a Data Scientist at Siemens Energy, you'll dive into large datasets to uncover insights that drive significant improvements in our R&D processes. You will focus on Machine Learning and Generative AI to drive the implementation of AI use cases.
Your Day-to-Day Responsibilities
- 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 trainings and raising awareness.
- Being up to date on latest developments in data science, AI/ML principles and theories to help the business make truly data-driven decisions.
What You Bring
- 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 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 focus central Europe (~25%)
- Fluent English skills
- Excellent problem-solving, analytical, and communication skills.
- Agile mindset and organizational/planning skills with the ability to work in multiple complex projects
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