Computer Vision Specialist (f/m/d)

O roli

Lokalita
Portugal
Lisboa
Amadora

  • Země/oblast: Spain

  • Země/oblast: Croatia

  • Země/oblast: Serbia

  • Země/oblast: Romania

  • Země/oblast: India

Remote vs. Office
Hybrid (Remote/Office)
Společnost
Siemens Energy Unipessoal Lda.
Organizace
EVP Global Functions
Obchodní jednotka
Enterprise Data & Advanced Analytics
Plný/Částečný úvazek
Na plný úvazek
Úroveň praxe
Zkušený profesionál
A Snapshot of Your Day 

As a member of our global team for enterprise data & advanced analytics, you will focus on computer vision applications for the energy industry. You will develop innovative methods and tools for automated defect detection, autonomous operation, and visual asset monitoring. These solutions enable quantitative component health assessments, facilitate systematic evaluations and design feedback, and ultimately enhance safety, efficiency, and sustainability for our customers. Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Data Analytics & AI team plays a significant role in driving the energy transformation. Honestly, we don’t have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can’t do it alone. Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.

How You’ll Make an Impact 
  • Designing and developing state-of-the-art computer vision solutions for integration into service and design applications 

  • Collaborating within cross-functional teams to coordinate and integrate computer vision methods and technologies across different fields of application 

  • Driving further adoption of computer vision applications across the company through knowledge sharing, demonstration of state-of-the-art concepts, and supporting technical trainings 

  • Staying informed about the latest developments in computer vision, machine learning, deep learning, and data science, and proactively identify opportunities to apply these technologies to solve real-world problems in the energy industry 

  • Collaborating in a partner ecosystem across industry and academia to drive research and leverage know-how in this field 

  • Documenting the developed methods and processes and present results to stakeholders across the organization on a regular basis

What You Bring
  • University degree in Computer Science, Mathematics, Physics, Engineering, or related field with focus on computer vision or image processing 

  • Excellent analytical skills and profound expertise in modern computer vision techniques, including object detection, semantic and instance segmentation, feature extraction, and 3D reconstruction 

  • Good mathematical background Strong programming skills in Python, or other relevant languages, and experience in best practices of software development

  • Experience with computer vision libraries and machine learning or deep learning frameworks 

  • Strong customer focus and excellent interpersonal skills, open-minded and willing to learn 

  • Ability to effectively collaborate in multidisciplinary, multinational, global teams 

  • Fluent in written and spoken English, excellent communication and presentation skills

About the Team

Within the enterprise team for Advanced Analytics & AI, we develop new methodologies and tools to enable data-driven decision-making along the value chain improving sustainability, reliability, and affordability of our energy solutions across the globe. We provide guidance and direction to the business and drive the strategy for the development of AI technologies within a partner ecosystem across industry and academia.

In our Business Functions we enable our organization to reach their targets by providing best-in class services and solutions in the areas of IT, HR, Finance, Real Estate, Strategy & Technology and more.

Find out how you can make a difference at Siemens Energy: https://bit.ly/3hD9pvK

Who is Siemens Energy? 

At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 92,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment. 

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. 

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 
  • In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
  • We also offer the opportunity to become a Siemens Energy shareholder
  • We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
  • The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive program and learning materials are available for this purpose
  • In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical
We value equal opportunities and welcome applications from people with disabilities.
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