Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future.

Our goal is to optimize processes and provide services driven by expertise, in areas such as business administration, human resources, supply chain management, sales, marketing, and engineering. Through innovation and digitalization, we facilitate the achievement of a successful and sustainable transformation.

In our GBS Western Europe and Africa Hub we are already more than 1400 connected people, from over 57 different nationalities spread across 14 countries. Check here, and get to know more about GBS.

GBS Digital Solutions offer innovative technology solutions and customer-oriented digitalization services and co-develop digital solutions to solve our customers business challenges, leveraging our modern technology layer and partner ecosystem. We consult them with our holistic, 360° digital advisory service, encompassing the data-driven discovery of digitalization potential along their business processes.

Are you ready to be part of the change? Come join us!

We are seeking a skilled and proactive MLOps Engineer to join our team to streamline and scale machine learning workflows, with a focus on Large Language Models (LLMs) and Agentic AI systems. The ideal candidate will be responsible for deploying, monitoring, and maintaining ML models and AI agents in production environments, ensuring reliability, scalability, and performance. You will work closely with data scientists, software engineers, and DevOps teams to bridge the gap between model development and production deployment. Candidates with strong traditional MLOps backgrounds who demonstrate enthusiasm for learning these new technologies are encouraged to apply.

Your mission will be…

Design and implement CI/CD pipelines for ML models and LLM-based AI agents.Automate model training, testing, and deployment workflows for traditional ML and LLM systems.Manage cloud-based infrastructure (e.g., AWS, Azure, GCP) for ML and LLM workloads.Optimize resource usage and ensure scalability of ML and agent-based systems.Monitor model performance, data drift, and agent behavior in production.Implement logging, alerting, and rollback mechanisms for AI agents and LLMs.Work with data scientists to create products based on models and AI agents.Integrate ML models and AI agents into existing applications and services.Ensure data privacy, ethical AI usage, and compliance with relevant regulations.Set up prompt versioning and management systems for LLM applications.Design and implement feedback collection mechanisms for agent behavior improvement.

We are looking for someone with…

Strong grasp of software engineering principles and DevOps practices.Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, etc.).Experience in deploying models for real-time or batch environments.Familiarity with cloud platforms (AWS, GCP, Azure).Knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI).Understanding of model monitoring tools (e.g., Prometheus, Grafana, MLflow).Bachelor's or master’s degree in computer science, Data Science, or related field.Familiarity with feature stores and model registries.Experience working with LLM frameworks (e.g., LangChain, LlamaIndex).Knowledge of prompt engineering and optimization techniques.Familiarity with agent evaluation frameworks and testing methodologies.

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)

·        SSON – Top 20 most admired Shared Services Organizations and Global Business Services in 2024

Please attach your CV in English.

#Siemens #PeopleAtSiemens #GBSpartnerofchoice

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!