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

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
- thinking minds and a presence in more than 190 countries, we make a truly global impact.

About the role

This role is an opportunity for a seasoned machine learning engineer passionate about applying Deep Learning and advanced analytics to industrial innovation. You will lead the development of AI-driven solutions in areas such as industrial copilots, foundation models, intelligent monitoring systems and industrial computer vision. The position demands creativity, technical excellence, and a strong drive to push the boundaries of applied AI in
- world industrial contexts.

Responsibilities

• Lead the design, development, and deployment of advanced analytics components within industrial systems, with a focus on Generative AI, LLMs, computer vision, and signal processing.
• Architect and implement deep
  - powered solutions such as industrial copilots, intelligent assistants, and synthetic data generators for engineering and operational use cases.
• Fine‑tune and evaluate LLMs and generative architectures (e. g. , transformers, GANs, VAEs, diffusion models) for industrial domains.
• Develop RAG pipelines and agentic workflows to enhance model performance and usability.
• Collaborate with cross‑functional teams including software engineers, MLOps specialists, and domain experts to deliver scalable, production‑ready AI solutions.
• Conduct feasibility studies, rapid prototyping, and experimental research to validate new ideas and technologies.
• Contribute to thought leadership through publications, patents, internal workshops, and external presentations.
• Mentor junior team members and foster a culture of innovation and continuous learning.

Qualifications

• Master’s or Ph
  D in Computer Science, Data Science, Mathematics, Engineering, or a related field.
• 5+ years of commercial experience in data science, with at least 2 years focused on Generative AI or LLMs.
• Strong proficiency in Python and deep learning frameworks (e. g. , Py
  Torch, Tensor
  Flow, Hugging Face).
• Hands‑on experience with fine‑tuning foundation models (e. g. , GPT, LLa
  MA, Mistral) and building Generative AI applications.
• Familiarity with prompt engineering, RAG systems, and vector databases.
• Experience with cloud platforms (AWS preferred), containerization (Docker), and MLOps tools (e. g. , Airflow, DVC, Clear
  ML).
• Solid understanding of signal processing, time series analysis, and computer vision.
• Proven ability to handle large‑scale, heterogeneous industrial datasets.
• Excellent communication skills and ability to translate complex technical concepts into actionable insights.
• Strong motivation for applied research and innovation in industrial domains.

Beneficial Experience

• Contributions to open‑source deep‑learning projects or relevant publications.
• Successful participation in AI competitions (e. g. , Kaggle).
• Experience with industrial domains such as energy, manufacturing, or infrastructure.

What we offer

A hybrid and flexible working model to promote a better work‑life balance, a budget for home office support, and the opportunity to do 16 hours a year of volunteer work. You will enjoy health insurance, access to an on‑site medical center, sports group participation, online learning platforms, partner discounts, a shuttle bus to commute to the facilities, and financial support for your studies.

Why Siemens

• Merco – Companies and Leaders with the Best Reputation in Portugal (#1 Technology/Manufacturing)
• Forbes – World’s Best Employers (#1 Engineering & Manufacturing)
• Linked
  In – Linked
  In Top Companies (#2)
• On
  Strategy – REPSCORE 2024: Brands’ Reputation in Portugal (#1 Engineering & Electronic Services)
• Fortune – World’s Most Admired Companies (#1 Industrial Machinery)
• Teamlyzer – Company with the Best Interviews (#1 Technology)

Please attach your CV in English.

#Siemens #Portugal
Tech
Hub

Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool!