AI Scientist Computer Vision

Siemens Energy

Gurugram District

On-site

INR 1,500,000 - 2,800,000

Full time

14 days+
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Benefits offered by this job

Medical Insurance
Meal Card
Flexi Pay
Global teamwork opportunities
Learning Platform

Job summary

Siemens Energy in Gurugram, India, is seeking an experienced AI researcher to drive computer-vision R&D for next‑generation energy systems. You will develop prototypes and translate fundamental research into scalable solutions that address automated defect detection, autonomous operation, and visual asset analysis.

Collaborate with international teams, publish and present findings, and help transfer technology within the energy sector.

Qualifications

  • Master's or PhD preferred in CS/Engineering/Math/Physics with focus on computer vision or image processing.
  • 2+ years of R&D in computer vision.
  • Deep expertise in object detection, segmentation, 3D perception and related CV methods.
  • Strong programming in C/C++ and Python with PyTorch/TensorFlow.
  • Solid background in linear algebra, optimization and 3D geometry; sensor tech familiarity.
  • Experience in scientific research environments and international collaboration.

Responsibilities

  • Conduct applied research in computer vision, ML, and 3D perception to advance our internal R&D roadmap.
  • Develop novel algorithms and prototypes from ideation to implementation.
  • Evaluate literature and identify opportunities for technology transfer into energy applications.
  • Collaborate with internal and external partners to apply CV across Siemens Energy.
  • Publish and present findings to internal and external stakeholders.
  • Build experimental pipelines, conduct systematic testing, and document results.

Skills

Computer Vision
C/C++
Python
PyTorch
TensorFlow
Mathematics
Sensor Technologies
GPU Computing

Education

Master's or PhD preferred

Tools

PyTorch
TensorFlow
CUDA

Job description

Job Description:
A Snapshot of Your Day

As part of our global Artificial Intelligence organization, you will drive research and development of cutting‑edge computer-vision technologies for next-generation energy systems. Your work will focus on exploring new methods in visual intelligence, developing prototypes, and transforming fundamental research into scalable solutions. You will investigate novel approaches for automated defect detection, autonomous operation, and visual asset analysis—laying the technological foundations that shape Siemens Energy’s digital future.

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
  • Conduct applied research in computer vision, machine learning, and 3D perception to advance our internal R&D roadmap.
  • Develop novel algorithms, models, and computational methods, from ideation and experimentation to prototype implementation.
  • Evaluate state-of-the‑art scientific literature and identify opportunities for technology transfer into energy‑sector applications.
  • Collaborate with internal and external partners to jointly drive the application of Computer Vision technologies across Siemens Energy.
  • Publish and present findings to internal and external stakeholders.
  • Build experimental pipelines, conduct systematic testing, and document scientific results to guide future development.
What You Bring
  • University degree (Masters or PhD preferred) in Computer Science, Engineering, Mathematics, Physics, or a related field with a strong focus on computer vision or image processing.
  • 2+ years of experience in research and development of Computer Vision technologies.
  • Deep expertise in modern CV techniques: object detection, semantic/instance segmentation, feature extraction, 3D reconstruction, generative models, sensor fusion, and related methods.
  • Strong programming skills in C/C++ and Python; experience with research frameworks (PyTorch, TensorFlow), computer-vision libraries, and GPU-accelerated computing.
  • Solid mathematical background (linear algebra, optimization, 3D geometry) and familiarity with sensor technologies and imaging systems.
  • Experience in scientific research environments (industry R&D, lab, or academic research).
  • Ability to collaborate across international, multidisciplinary research teams.
About The Team

Within the enterprise team for Artificial Intelligence, 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.

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 100,000 dedicated employees, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably.

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.

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
  • All employees are automatically covered under Medical Insurance. Company-paid considerable family floater cover covering employee, spouse, and 2 dependent children up to 25 years of age.
  • Siemens Energy provides an option to opt for a Meal Card to all its employees, as per the terms and conditions prescribed in the company policy, as part of CTC and as a tax-saving measure.
  • Flexi Pay empowers employees with the choice to customize the amount in selected salary components within a defined range, thereby optimizing tax benefits. Accordingly, each employee can determine the best possible net income from the same fixed individual base pay on a monthly basis.
  • Opportunities to work with a global team and lead innovative digital transformation initiatives.
  • Opportunities for professional and personal development through the Siemens Energy Learning Platform.

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

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