Computer Vision Engineer
12 hours ago
Computer Vision Engineer
Job Title: Computer Vision Engineer
Company: sliQue
Location: (Hybrid/Remote)
About Us:
sliQue is an innovative leader in robotics and AI, focusing on integrating state-of-the-art computer vision and machine learning capabilities into advanced robotics platforms and security solutions. Our mission is to redefine how organizations enhance safety, optimize operations, and monitor complex environments. Working with us, you’ll be part of a forward-thinking team that values cutting-edge research, robust engineering principles, and ethical AI deployment.
Role Overview:
We seek a Computer Vision Engineer to lead the design and implementation of sophisticated vision-based models and systems. This role will involve pushing the boundaries of object detection; you will ensure our AI-driven solutions are accurate, efficient, and seamlessly integrated into our broader robotics and analytics platforms.
Key Responsibilities :
• Model Development & Optimization:
• Architect, train, and deploy advanced computer vision models, including object detectors (e.g., YOLO, Faster R-CNN), person/vehicle re-identification systems, attribute classifiers, and action recognition modules.
• Leverage state-of-the-art techniques, such as Vision Transformers and attention-based models, to improve detection and classification accuracy under varying conditions (illumination changes, partial occlusions, crowded scenes).
• Attribute & Action Recognition:
• Develop specialized modules
• Integrate scene classification and temporal filtering logic to enable complex queries (e.g., identifying a person holding a particular item at a given time and location).
• System Integration & Deployment:
• Collaborate with software engineers and robotics specialists to integrate vision models into end-to-end pipelines, ensuring real-time inference efficiency and reliability.
• Optimize models for cloud and edge deployments, using techniques like quantization, pruning, and model distillation to meet latency and resource constraints.
• Data Management & Annotation:
• Work with large-scale, diverse datasets—ranging from public benchmarks to proprietary video feeds—and establish data pipelines for continuous model improvements.
• Oversee annotation processes, develop custom labeling tools or interfaces, and ensure data quality for training and evaluation.
• Continuous Improvement & Research:
• Keep abreast of the latest trends in computer vision, deep learning architectures, and optimization techniques.
• Experiment with emerging technologies (e.g., 3D perception, multimodal fusion, self-supervised learning) and propose their application within our product suite.
• Actively contribute to performance monitoring, debugging, and error analysis to incrementally enhance model robustness and accuracy.
Qualifications:
• Education & Background:
• Master’s degree or Ph.D. in Computer Science or a related field, with a strong focus on Computer Vision, Deep Learning, or Robotics.
• Demonstrated research or industry experience applying cutting-edge deep learning methods to complex vision problems.
• Technical Expertise:
• Proficiency in Python and one or more deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience implementing algorithms for detection, segmentation, tracking, and activity recognition, with a thorough understanding of relevant metrics and benchmarks.
• Familiarity with GPU acceleration, distributed training, model optimization, and deployment strategies for embedded or edge computing solutions.
• Working knowledge of image processing techniques, camera calibration, multi-view geometry, or 3D vision is a plus.
• Analytical & Communication Skills:
• Strong problem-solving abilities, translating high-level requirements into actionable research and engineering tasks.
• Clear, concise communication skills for working with cross-functional teams, reporting progress to stakeholders, and articulating technical details to non-experts.
What We Offer:
• Impactful Work:
• Contribute to state-of-the-art AI-driven solutions that address high-stakes challenges, from enhancing public safety to streamlining industrial operations.
• Professional Growth
• Opportunities for ongoing learning, attending industry conferences, and publication in academic venues.
• Work with a multidisciplinary team of computer vision scientists, robotics experts, and software engineers who will support your professional development.
• Competitive Package:
• Competitive salary, benefits, and the potential for performance-based bonuses and equity options.
• Intense and hardcore working environment, including remote and hybrid options, plus 6 months of travel per year.
How to Apply:
If you are passionate about advancing the frontiers of computer vision and want to shape the next generation of intelligent vision systems, join us now.
• A detailed resume or CV highlighting relevant projects and publications.
• A brief cover letter describing your experience and areas of interest.
• Links to code repositories, portfolio projects, or publications demonstrating your expertise.
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