PUNE · FULLTIME
Computer Vision Engineer
Sakar
Pune · onsite · Posted 44d ago
Sourced from
Undisclosed3–7 yrsfulltimePune
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.3s
- Found the form on Naukri · 6 questions to answer1.2s
- Decided the answers for all of them3.1s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
Computer Vision Engineer
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Location: Pune
Experience: 2-5 years
Employment Type: Full-time
About the Company:
We founded Sakar Robotics to collapse fragmented point solutions into a single extensible mobile manipulation platform. Traditional automation requires bespoke integration per workflowslow to deploy, rigid to evolve. We built a composable stack where perception, autonomy, manipulation and orchestration cooperate natively.
Guided by field feedback across regulated, high\u2011mix and throughput\u2011critical domains, we iterate on production realitynot lab abstractionsbuilding durable leverage for customers.
Our mission is to deliver a unified robotics platform that can be rapidly configured to execute diverse workflowsreducing time\u2011to\u2011value, elevating safety, and embedding continuous improvement loops into daily operations.
Role Summary
Were seeking an experienced Computer Vision Engineer to design, develop, and deploy robust vision systems for automated visual inspection integrated with our mobile manipulator robots. This role is critical to delivering quality inspection solutions across manufacturing, warehousing, and industrial environments.
Build production-grade computer vision stack for visual inspection applications that seamlessly integrates with our robotic platforms to enable automated quality control, defect detection, dimensional verification, and compliance inspection across diverse industrial use cases.
Key Responsibilities:
1. Vision System Architecture Development
- Design and implement end-to-end computer vision pipelines for industrial inspection applications
- Develop robust algorithms for defect detection, classification, measurement, and quality assessment
- Build vision systems for various inspection scenarios: surface defects, dimensional accuracy, assembly verification, component identification, OCR/text recognition, anomaly detection
- Optimize vision algorithms for real-time performance on edge devices and embedded platforms
- Integrate vision systems with robotic motion planning and control for coordinated inspection workflows
- Develop calibration procedures for cameras and vision sensors in robotic systems
- Build data pipelines for image acquisition, preprocessing, augmentation, and annotation2. Deep Learning Model Development
- Design, train, and deploy deep learning models for classification, object detection, segmentation, and anomaly detection
- Implement classical computer vision techniques where appropriate (edge detection, feature extraction, template matching, morphological operations)
- Develop custom models tailored to specific industrial inspection requirements
- Create synthetic data generation pipelines to augment training datasets
- Perform model optimization, quantization, and compression for deployment on edge devices
- Implement active learning and continuous improvement frameworks
- Benchmark and evaluate model performance across accuracy, speed, and robustness metrics3. System Integration Deployment
- Integrate vision systems with ROS-based robotic platforms
- Work with hardware team to specify and select appropriate cameras, lighting, and sensors
- Develop APIs and interfaces for vision system integration with broader automation stack
- Deploy models on edge computing platforms (NVIDIA Jetson, Intel NUC, or custom hardware)
- Implement robust error handling, fault tolerance, and system monitoring
- Create configuration management systems for different inspection scenarios
- Ensure vision systems meet industrial reliability and uptime requirements4. Testing, Validation Documentation
- Develop comprehensive testing frameworks for vision system validation
- Conduct field testing and performance validation at customer sites
- Create technical documentation including system architecture, API documentation, and user guides
- Collaborate with quality assurance team to establish inspection accuracy benchmarks
- Support customer pilots and proof-of-concept deployments
- Provide technical training to field engineers and customersMust-Have Skills:Computer Vision Image Processing:
- Strong proficiency in OpenCV, PIL/Pillow, scikit-image
- Expertise in classical CV techniques: feature extraction, image segmentation, object detection, geometric transformations
- Experience with 3D vision, stereo vision, or depth sensing (structured light, time-of-flight)
- Knowledge of camera calibration, lens distortion correction, and geometric visionDeep Learning ML:
- Hands-on experience with PyTorch or TensorFlow
- Proficiency in CNNs, object detection (YOLO, R-CNN family, SSD), semantic segmentation (U-Net, DeepLab)
- Experience with vision transformers (ViT, DINO, SAM) is a plus
- Knowledge of anomaly detection and one-shot/few-shot learning techniques
- Familiarity with MLOps tools and model versioningProgramming Development:
- Expert-level Python programming
- Strong understanding of C++ for performance-critical components
- Experience with ROS (Robot Operating System) or ROS2
- Proficiency with Git, Docker, and CI/CD pipelines
- Knowledge of multi-threading, parallel processing, and optimization techniquesDeployment Edge Computing:
- Experience deploying models on NVIDIA Jetson, Intel RealSense, or similar edge platforms
- Knowledge of model optimization frameworks (TensorRT, ONNX, OpenVINO)
- Understanding of embedded Linux systems
- Experience with GPU programming (CUDA) is a plusGood-to-Have Skills:
- Experience with industrial cameras (Basler, FLIR, Allied Vision) and machine vision standards (GigE Vision, GenICam)
- Knowledge of industrial lighting techniques and illumination design
- Familiarity with 3D reconstruction and point cloud processing (PCL, Open3D)
- Experience with synthetic data generation tools (Unity, Unreal Engine, Blender)
- Understanding of industrial communication protocols (Modbus, OPC-UA, MQTT)Soft Skills:Technical Problem Solving
- Strong analytical and debugging skills for complex vision system issues
- Ability to balance theoretical knowledge with practical engineering constraints
- Creative problem-solving for challenging inspection scenarios
- Systematic approach to performance optimizationSystem Thinking
- Understanding of full-stack development from sensor to application layer
- Ability to design scalable and maintainable vision architectures
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
AutomationBlenderCompressiondaily operationsCudaCI/CD Pipelinesconfiguration managementapisComputer VisionclassificationAnomaly DetectiondebuggingcloudAlgorithmsArchitectureAPI DocumentationcomplianceData Pipeline
Section · Company
About Sakar
Sakar
₹13.6L PA avg
Avg at Sakar
About
Sakar Robotics is a technology company specializing in robotics, automation, and advanced engineering solutions for industrial applications. The firm focuses on designing and developing robotic systems that enhance efficiency, precision, and productivity across sectors such as manufacturing and engineering. Career opportunities include roles in robotics engineering, RD, project management, and technical support, reflecting its mission to drive innovation and modernize industries through smart automation technologies. ```
Employee ratings
10 reviews
3.9/ 5
Culture
3.0
Career growth
2.9
Work-life
3.4
Employees rate it well for
Overall Company39Work-Life Balance37
Find them on