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Machine Vision Engineer

Job ID
489806
Posted since
30-Dec-2025
Organization
Smart Infrastructure
Field of work
Engineering
Company
Siemens Limited
Experience level
Experienced Professional
Job type
Full-time
Work mode
Office/Site only
Employment type
Permanent
Location(s)
  • Goa - Goa - India
We're improving the way we live and work by intelligently connecting energy systems, buildings, and industries!!

Smart infrastructure from Siemens makes the world a more connected and caring place – where resources are valued, where impact on the world is considered, where sustainable energy is delivered optimally and efficiently. It provides the flexible infrastructure to allow society to evolve and respond to changing conditions. Technology and the ingenuity of people come together to be at one with our environments and to care for our world. We do this from the macro to the micro level, from physical products, components, and systems to connected, cloud-based digital offerings and services. Siemens offers a broad portfolio of grid control and automation; low- and medium-voltage power distribution, switching and control; and building automation, fire safety and security, HVAC control and energy solutions.

JOIN US! WE MAKE REAL WHAT MATTERS. THIS IS YOUR ROLE


We are seeking a skilled Machine Vision Engineer to design, develop, and deploy vision systems for real-time Product inspection and Quality control for our products in our manufacturing facilities. 
The ideal candidate will have extensive experience in programming, setup,troubleshooting, and maintenance of Machine vision systems ensuring high-quality
production and Zero defects & minimal downtime.
Here you will work in a modern, dynamic factory environment. This position is accountable for, but not limited to:

Key Responsibilities :  
  • Design, develop, and implement machine vision Systems & algorithms for tasks like object detection, defect inspection, and pattern recognition for
  • Product inspection.
  • Integrate machine vision systems with cameras, sensors, and other hardware components to ensure seamless functionality.
  • Optimize image-processing techniques to maximize accuracy, speed, and efficiency for production environments.
  • Collaborate with mechanical, software, and electrical engineers to define requirements and create end-to-end solutions.
  • Conduct experiments and analyse system data to refine algorithms and enhance system performance.
  • Document development processes, system designs, and test results to ensure reproducibility and knowledge sharing.
  • Handle independently lead end-to-end projects bridging traditional machine vision and new AI-based vision inspection systems.
  • Driver project with minimal supervisory, you'll modernize legacy rule-based inspection systems while pioneering deep learning solutions for real-time
  • quality control for the Product inspection Q Gates.
  • Own the full lifecycle—from classical algorithm optimization to AI deployment—in dynamic manufacturing environments.
  • Optimize New & Existing machine vision algorithms for defect detection, object recognition, dimensional measurement Based on Cognex VisionPro,
  • Keyence, EthonAi , Siemens PickAi & Smart Grasph Technology.
  • Ability select the Hardware based the Requirement of Vision system.
  • Onsite Visit and support the production team to fine tune/correct/debug the issue facing online, to ensure high availability of Vision system in dynamic
  • environments.
  • Collaborate with internal stake holders & External supplier for software,hardware, integrate with vision solutions into automated systems.
  • Analyse performance metrics (e.g., accuracy, speed, false positives) and iterate models train/debug using data/feedback from production lines.
  • Stay updated on emerging technologies like deep learning for vision, edge AI,and Industry 4.0 standards.
  • Knowledge on Debug and connectivity between Vision system hardware with
  • other Equipment’s like PC, Server, OPC, Scada.
  • Knowledge on Client & Server concept-based vision systems.
  • Additional Responsibilities to work with Special purpose machine-SPM & Autonomous machine like AMR, AGV, Robot.
  • You will have an opportunity to Learn the Above-Mentioned Technologies and implement along with AI Based vision system wherever is required.
  • 6 Days working.
Technical Skills:
  • Knowledge of robotics platforms (e.g., UR Cobots, FANUC, KUKA).
  • Knowledge of AOI platforms (e.g., Vision CCD systems, Cognex, Keyence, Basler, Hikrobot, Baumer, Omron, Baluff , Vision guided robotics),
  • Basic Programming and Troubleshooting – Ability to read, edit, and diagnose PLC (SIEMENS (Step7, TIA portal, WINCC)), C#, Python, and various other
  • machine programming languages/software.
  • Understanding of Docker, Kubernetes, and Git
  • Familiar with key machine validation metrics, including CPK, CPQ, GRR, MSA & safety standards, and more.
  • Knowledge on industrial communication protocols such as Ethernet/IP, Modbus, RS232, RS485, Profibus, ProfiNet, DeviceNet, OPC server.
  • Knowledge on Presentation and working with Microsoft applications like Office, Word, PPT, Excel, Planner, Teams.
  • Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch,OpenCV, Keras, TensorFlow, Ludwig, TensorRT).
  • Knowledge of NLP and NLU (NLTK, SpaCy, Flair, etc.)
  • Proficiency in Windows & Linux Operating system.
Soft Skills
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.
  • Attention to detail and commitment to quality.
  • Adaptability in a fast-paced manufacturing environment.
Work Environment
  • Manufacturing floor environment with exposure to equipment and materials.
  • Requires standing, lifting (up to 25 lbs), and occasional overtime to meet
  • deadlines.
Required Qualifications
  • Education: Diploma / BE - Electricals, Electronics, Mechanical, Mechatronics.
  • Year of Experience: 2-3 years.
  • Job Location: Verna, Goa.
WE DON'T NEED SUPERHEROES, JUST SUPER MINDS!

WE’VE GOT QUITE A LOT TO OFFER. HOW ABOUT YOU?

We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality and we welcome applications that reflect the diversity of the communities we work in across Gender, LGBTQ+, Abilities & Ethnicity. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination, and help us shape tomorrow.

Find out more about Smart Infrastructure at: https://new.siemens.com/global/en/company/topic-areas/smart-infrastructure.html and about Siemens careers at: www.siemens.com/careers