Machine Learning Engineer – Generative AI (m/f/d)

Siemens

Amadora,PT 2025-02-26

Descrição

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.

With a decade of history and around 1.600 experts, the Portugal Tech Hub is the home of the new technologists – Dream Builders, Impact Creators & Future Makers.

Are you one of them? Come join us! ⭐

Here is your opportunity to enable sales transformation and move the world from behind the scenes with your IT expertise and passion for game-changing information technology.
Rethink IT and steer projects in completely new directions. Be bold when others would have given up. In short, play a key role in driving digitalization forward! We’ll provide the resources you need to do this. We also offer a variety of opportunities to get involved and to be part of a global network of IT experts and professionals.
Welcome to our world!

  • Your mission will be…
  • Develop AI-driven solutions for for Sales insights, Siemens customers and Sales Rep, across business lines and units, leveraging GenAI technology.
  • Act as a Tech Lead in building a multi-data source, multi-LLM modular solution to drive intelligent automation.
  • Design and implement LLM-based architectures, including Retrieval-Augmented Generation (RAG), enterprise knowledge repositories, and structured data querying via natural language.
  • Build, scale, and optimize AI-powered workloads and apply MLOps best practices to deploy them efficiently.
  • Develop and integrate knowledge graphs to enhance LLM functionality and downstream AI applications.
  • Work with AI agents and large-scale vector databases to develop advanced RAG applications.
  • Develop APIs for seamless AI solution integration across Siemens' business landscape.
  • We are looking for someone with…
  • Master’s degree in Computer Science, Data Science, Business Intelligence, Machine Learning, or a related field.
  • 5-8 years of experience in Data Science and Machine Learning, with a strong foundation in AI-driven solutions.
  • Experience with LLM-based development, including training, fine-tuning, and deploying models at scale.
  • Proven ability to implement Retrieval-Augmented Generation (RAG) architectures, knowledge graphs, and AI-driven agents.
  • Deep understanding of transformer architectures, embeddings, and vector databases for scalable AI applications.
  • Strong expertise in Azure cloud computing and building production-grade AI deployments.
  • Proficiency in Python and essential ML/AI libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch, JAX/Flax).
  • Experience in API development to support AI-driven functionalities.
  • Solid understanding of DevOps methodologies, particularly CI/CD pipelines for AI model deployment.
  • Familiarity with MLOps principles to optimize AI workflows and model lifecycle management.
  • Strong software engineering and cloud architecture expertise.
  • Experience with Azure OpenAI, MLOps, and scalable cloud-based AI architectures.
  • Strong problem-solving skills and ability to work in a remote, collaborative environment.
  • Fluent in English (speaking and writing).

What you can expect from us…
A hybrid and flexible working model to promote a better work-life balance, along with a budget for home office support and the opportunity to do 16 hours a year of volunteer work. A health insurance, access to our on-site medical center, plus the chance to join sports groups.
In addition, you'll have access to online learning platforms and discounts with our partners. A shuttle bus to commute to the facilities and the possibility of financial support to your studies.

  • What makes us proud as an employer:
  • Merco – Companies and Leaders with the Best Reputation in Portugal (#1 Tecnology/Manufacturing)
  • Forbes – World’s Best Employers (#1 Engineering & Manufacturing)
  • LinkedIn – LinkedIn Top Companies (#2)
  • OnStrategy – REPSCORE 2024: Brands’ Reputation in Portugal (#1 Engineering & Electronic Services)
  • Fortune – World’s Most Admired Companies (#1 Industrial Machinery)
  • Teamlyzer – Company wit

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