Role overview
Create a better #TomorrowWithUs
At Siemens, we build technology solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over 300.000 of the world’s most forward-thinking minds and the power of a presence in more than 190 countries, we make a truly global impact.
At the Portugal Tech Hub, we take on challenges to make life easier, safer, and more sustainable for us and generations to come. We bring value to the business digitalization transition, from Portugal to the world, in areas such as Artificial Intelligence, Analytics & Business Intelligence, Application Lifecycle Management, Cybersecurity, IT Infrastructure Management, IT Project & Service Management, IT Strategy, User Experience, and many more.
What you'll work on
- Designing, developing, and optimizing AI solutions using cutting-edge models and techniques across different domains, tackling problems related to predictive analytics, computer vision, natural language processing (NLP), and automation.
- Translating business challenges into AI-driven solutions.
- Building and productionizing AI/ML pipelines and agentic workflows.
- Deploying and prompt-engineering large language models (LLMs) using Retrieval-augmented generation (RAG) for domain-specific use cases.
- Leveraging cloud platforms to support scalable development and deployment of AI solutions.
- Collaborating with backend engineers and cloud architects to deliver AI-first systems.
- Monitoring and continuously improving model performance, latency, and accuracy in production environments
- Ensuring all solutions meet enterprise-grade standards for reliability, traceability, and maintainability.
What we're looking for
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Advanced Analytics, or a related field.
- 4+ years of hands-on experience in AI/ML development and implementation in a consulting or corporate environment.
- In-depth knowledge of generative AI methods (e.g., LLMs, Retrieval-Augmented Generation, vector databases, embeddings, agent systems) as well as classical machine learning.
- Experience with cloud-based ML services such as Azure ML Studio, Azure OpenAI Service, AWS SageMaker, or AWS Bedrock.
- Proven experience designing and deploying AI pipelines and multi-step agent architectures.
- Proficiency in Python and familiarity with modern ML frameworks.
- Demonstrated ability to integrate AI solutions into production environments.
- Ability to clearly communicate complex technical concepts.
- Excellent English skills, both written and spoken.