Job Description
We are seeking a talented Computer Vision Engineer to join our team and contribute to the development and implementation of computer vision algorithms and applications. The Computer Vision Engineer will be responsible for designing, prototyping, and optimizing computer vision systems that analyze and interpret visual data. This role requires strong technical expertise in computer vision, machine learning, and deep learning methodologies.
Roles And Responsibilities
- Design and develop computer vision algorithms and models for image and video analysis, object detection, tracking, and recognition.
- Implement and optimize computer vision systems using frameworks such as OpenCV, TensorFlow, PyTorch, or similar.
- Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate computer vision solutions into applications and products.
- Collect, preprocess, and annotate data sets for training and evaluation of computer vision models; perform data augmentation and validation.
- Evaluate and select appropriate machine learning models and techniques for specific computer vision tasks; fine-tune models for optimal performance.
- Conduct experiments and benchmarks to measure the accuracy, efficiency, and scalability of computer vision algorithms and systems.
- Stay updated with the latest advancements in computer vision research, techniques, and technologies; apply cutting-edge methodologies to solve real-world challenges.
- Document technical designs, processes, and results; present findings and recommendations to stakeholders and management.
- Collaborate with hardware engineers to optimize computer vision solutions for embedded systems or specialized hardware platforms.
Skills And Qualifications
- Master’s or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or related field (Bachelor’s degree with relevant experience may be considered).
- Proven experience (X years) in developing computer vision algorithms and applications, preferably in a commercial or research environment.
- Proficiency in programming languages such as Python, C/C++, and experience with computer vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
- Solid understanding of machine learning and deep learning concepts, including CNNs, RNNs, and reinforcement learning.
- Experience with image and video processing techniques, feature extraction, and pattern recognition.
- Familiarity with software development practices, version control systems (e.g., Git), and agile methodologies.
- Strong analytical and problem-solving skills; ability to analyze complex visual data and derive meaningful insights.
- Excellent communication and collaboration skills; ability to work effectively in a multidisciplinary team environment.
Compensation And Benefits
- Competitive salary based on experience and qualifications.
- Comprehensive benefits package including health, dental, vision, and retirement plans.
- Opportunities for professional development and career advancement within the organization.
- Flexible work hours and a collaborative work environment.
How To Apply
Please submit your resume and a cover letter outlining your qualifications and interest in the position to Augment Jobs. We look forward to reviewing your application and discussing how you can contribute to our team as a Computer Vision Engineer.
This job description is crafted to attract experienced Computer Vision Engineers by emphasizing the technical skills, responsibilities, and opportunities for innovation in a dynamic company environment. Adjustments can be made based on specific company needs or industry standards.
