Data Scientist - Machine Learning / Generative AI
About the Role
Location Portugal Lisboa Amadora Remote vs. Office Hybrid (Remote/Office) Company Siemens Energy Unipessoal Lda. Organization Grid Technologies Business Unit Product Management Full / Part time Full-time Experience Level Experienced Professional
A Snapshot of Your Day
As a Data Scientist, 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. You'll spend your day collaborating with multi-functional teams & external partners, consult domain experts and apply advanced data science techniques to solve real-world problems.
Your work will enhance process quality, reduce costs, and increase efficiency, directly impacting Siemens Energy’s mission to innovate and lead in the energy sector.
How You’ll Make an Impact
1. Design, implement, and evaluate large-scale language models and generative AI use cases
2. Consult business partners in cooperation with data engineers to create business cases & find the best possible solution for their processes
3. Optimize the performance, scalability, and reliability of language, vision models and generative AI systems.
4. Communicate the results and insights of machine learning experiments and projects to stakeholders and clients.
5. Regularly validate and develop further AI solutions based on customer/user feedback
6. Driving the roll-out of AI/ML across the R&D teams through knowledge sharing, supporting trainings and raising awareness.
7. 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
Must have:
8. Master's degree or PhD in computer science, machine learning, natural language processing, or related fields.
9. Proven analytical skills and profound expertise in data science with focus on Generative AI, LLMs, NLP and other artificial intelligence methods
10. Passion for AI, data and analytics
11. 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.
12. Interest in dealing with business processes and technical challenges in order to derive optimization potential
13. Deep knowledge in at least one Machine learning environment (SageMaker, AI Studio, WatsonX or comparable)
14. Willingness to travel with focus central Europe (~25%)
15. Fluent English skills
16. Excellent problem-solving, analytical, and communication skills.
17. Agile mindset and organizational/planning skills with the ability to work in multiple complex projects
Nice to have:
18. Experience in applying Gen AI & ML applications in an industrial b2b environment
19. German language skills
20. Experience in applying GenAI at scale.