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Computer Vision Specialist
Siemens Energy
Develop and implement computer vision solutions for energy industry applications.
6d ago
Intermediate (4-7 years), Experienced (8-12 years), Expert & Leadership (13+ years)
Full Time
Gurugram, Haryana, India
Office Full-Time
Company Size
91,000 Employees
Service Specialisms
Engineering
Project Management
Consulting
Turnkey
Technical Services
Design
Construction services
Manufacturing
Sector Specialisms
Utilities
Independent Power Producers
Transmission System Operators
Oil and Gas Industry
Energy-Intensive Industries
Power Generation
Heat Generation
Thermal Power Plants
Role
What you would be doing
computer vision
tech adoption
research collaboration
solution design
method documentation
cross‑functional integration
- Staying informed about the latest developments in computer vision, machine learning, and data science, and proactively identifying opportunities to apply these technologies to solve real-world problems in the energy industry.
- Driving further adoption of computer vision applications across the company through knowledge sharing, demonstration of state-of-the-art concepts, and supporting technical training.
- Collaborating in a partner ecosystem across industry and academia to drive research and leverage know-how in this field.
- Designing and developing state-of-the-art computer vision solutions for integration into service and design applications.
- Documenting the developed methods and processes and presenting results to stakeholders across the organization on a regular basis.
- Collaborating within cross-functional teams to coordinate and integrate computer vision methods and technologies across different fields of application.
What you bring
computer vision
c++
python
gpu
linear algebra
multinational teams
- University degree in Computer Science, Mathematics, Physics, Engineering, or a related field with a focus on computer vision or image processing.
- Good mathematical and 3D geometry background, featuring a robust foundation in linear algebra, optimization, and an understanding of 3D geometry and computer graphics, along with knowledge of sensor technologies.
- Ability to effectively collaborate in multidisciplinary, multinational, global teams.
- Strong customer focus and excellent interpersonal skills, open-minded and willing to learn.
- Excellent analytical skills and profound expertise in modern computer vision techniques, including object detection, semantic and instance segmentation, feature extraction, and 3D reconstruction.
- Fluent in written and spoken English, with excellent communication and presentation skills.
- Strong programming skills in C/C++, Python, or other relevant languages, with experience in computer vision libraries and machine learning frameworks, and familiarity with GPU programming.
- Opportunities to work on and lead a variety of innovative projects.
- Time off/Paid holidays and parental leave.
- Medical benefits.
- Employees are eligible for Remote Working arrangements up to 2 days per week.
- Continual learning through the Learn@Siemens-Energy platform.
- Opportunities to work with a global team.
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Interview process
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Company
Overview
- Offers cutting-edge solutions across the energy value chain.
- Evolved into a global leader in energy innovation from pioneering technologies.
- Plays a crucial role in accelerating the world's transition to a low-carbon future, focusing on sustainable energy production.
- Broad portfolio includes gas turbines, power plants, renewable energy systems like wind and solar, supporting the shift to cleaner power.
- Known for highly specialized solutions, from energy storage to grid optimization, helping utilities and industries thrive sustainably.
- Major projects include large-scale renewable energy plants, carbon capture initiatives, and smart grid solutions that help stabilize the power supply.
- Behind some of the world's most innovative and efficient energy technologies, driving change on both small and large scales.
- Distinct for its ability to combine legacy power systems with the latest advancements in renewable energy, shaping the future of power.
- We embrace sustainability and environmental responsibility.
- We deliver excellence and innovation in everything we do.
- We act with integrity, fairness, and transparency.
- We respect the diversity of people, cultures, and perspectives.
- We are agile and adaptive, finding new ways to innovate and improve.
- We collaborate with customers, colleagues, and partners to achieve shared goals.
Net Zero by 2050
CO2 Emissions Target
Aiming to achieve net zero CO2 emissions by 2050.
45% Emissions Cut
Reduction by 2025
Targeting a 45% reduction in CO2 emissions by 2025, compared to 2019 levels.
- Aims to lead the energy transition by providing cleaner and more efficient energy solutions.
- Focuses on reducing operational impact by investing in sustainable technologies.
- Portfolio includes products and services to help customers reduce emissions and improve energy efficiency.
30% women
Leadership Goal
Target to increase women in leadership positions.
- Aims to achieve a 50/50 gender balance in their global workforce by 2030.
- Focused on building an inclusive and diverse workforce, prioritizing equal opportunities for all employees.
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