11 publicaciones de empleo destacadas de java developer en sant joan despí, ct (¡Están contratando!)

Software Engineer (MLOps, AI)
Siemens Energy —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- DevOps
QC Automation Engineer
Aizon —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Google Suite
- Informática
- Sistemas ERP
- Seguro dental
Solicitud rápida
Guidewire Developer
Sollers Consulting —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Oracle
- Inglés
Architect - Solutions
Scan-IT —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- DevOps
Solicitud rápida
Sales Engineering, Senior Specialist (Spanish Speaking)
Checkout.com —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Ventas
- Inglés
Solicitud rápida
IT Tech Lead
Sollers Consulting —Barcelona, Barcelona provincia
- Trabajo híbrido
- Español
- Oracle
- Inglés
Senior Rust Developer
Workato —Barcelona, Barcelona provincia
- DevOps
- Inglés
- Java
Solicitud rápida
System Engineer
Thales —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Informática
- Inglés
- Oportunidades de crecimiento y desarrollo profesional
- Seguro de vida
8d
Customer Success Engineer
SonarSource —Barcelona, Barcelona provincia
- Jornada completa
- Español
- DevOps
- Inglés
Engineering Manager
Moniepoint —Barcelona, Barcelona provincia
- Teletrabajo
- Informática
- Java
- Grado
- Plan de pensiones
Solicitud rápida
Platform Engineer
Sparta —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Java
- AWS
- Scripting
6d

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Software Engineer (MLOps, AI)

Siemens Energy -
Barcelona, Barcelona provincia

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Detalles del empleo

Jornada completa

Cualificaciones

TensorFlow
CI/CD
Azure
Informática
Ansible
DevOps
C#
Java
Máster
AWS
Docker
Machine learning
Scala
Terraform
GitHub
ETL
Cloud
Inteligencia artificial
GitLab
Python

Descripción completa del empleo

A Snapshot of Your Day

As a Software Engineer within the Scalable Core team, you will collaborate with a diverse group of talented professionals to design, develop, and deploy cutting-edge ML/AI platforms that drive Siemens Energy’s intelligent energy management solutions. Your day might include working with Python code for machine learning pipelines, integrating MLOps tools like Kubeflow or MLflow, and ensuring seamless deployment across cloud, on-premises, and edge environments. You’ll engage in collaborative problem-solving sessions, participate in code reviews, and contribute to enhancing our developer experience by implementing automated quality assurance processes. Additionally, you’ll stay updated with the latest advancements in AI/ML to continuously innovate and improve our platform offerings.

How You’ll Make an Impact

Design, build, and maintain scalable ML/AI platforms that enable the creation and deployment of intelligent energy management solutions.
Create and optimize MLOps pipelines for efficient model training, experimentation, and lifecycle management.
Integrate tools for automatic hyperparameter tuning and ensure AI model Service Level Agreements (SLAs) are met to maintain high performance and reliability.
Work closely with data engineers, software developers, and other stakeholders to manage ETL processes and ensure seamless data integration within ML pipelines.
Utilize containerization and orchestration technologies like Docker and Kubernetes to deploy solutions across cloud, on-premises, and edge environments.
Contribute to the development of CI/CD pipelines, monitoring systems, and automated quality assurance processes to enhance overall developer productivity and software quality.

What You Bring

A Master’s degree in Computer Science or a related field.
Over five years of experience as a software engineer, with at least three years focused on ML/AI and MLOps.
Strong proficiency in Python and experience with languages such as C#, Java, Scala, or Go.
In-depth knowledge of ML frameworks like TensorFlow, PyTorch, scikit-learn, and data libraries such as Pandas and NumPy.
Hands-on experience with MLOps tools including Kubeflow, MLflow, TensorFlow Extended (TFX), and CI/CD platforms like Azure DevOps, GitLab CI or GitHub Actions.
Proficiency with cloud platforms (AWS, Azure, GCP), containerization tools (Docker), orchestration systems (Kubernetes), and Infrastructure as Code tools like Terraform or Ansible.

About the Team

The Scalable Core team is at the heart of Siemens Energy’s Software Delivery department, driving the development of foundational technologies and advanced platforms that power scalable and intelligent energy management solutions. Our mission is to empower the rapid growth of Siemens Energy’s digital portfolio by delivering robust, scalable, and secure building blocks through our Software Factory initiative. We focus on creating seamless integrations across IT and OT platforms, developing AI/ML/GenAI platforms for smart solutions, and enhancing developer experiences to ensure high-quality, compliant software delivery. By fostering innovation and collaboration, the Scalable Core team plays a crucial role in enabling both internal teams and external clients to build and deploy cutting-edge energy management solutions across cloud, on-premises, and edge environments.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100.00 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

Competitive compensation package
Work-life balance: Flexible working time
Flexible mobile working policy (hybrid)
Local benefits such as meal allowance, flexible plan and much more
Self-driven development framework with insights and resources to develop and grow on technical and soft skills. Continuous learning
International and cross Business Units

We value equal opportunities and welcome applications from people with disabilities.

https://jobs.siemens-energy.com/jobs

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