Computer Vision Engineer - augmentjobs

Overview

We are seeking a talented and innovative Computer Vision Engineer to join our technology team. The Computer Vision Engineer will be responsible for designing, developing, and implementing computer vision algorithms and applications to solve complex problems and enhance our product offerings. The ideal candidate will have a solid background in computer vision, deep learning, image processing, and machine learning techniques. This role requires a passion for cutting-edge technology, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams to deliver robust and scalable computer vision solutions.

Roles and Responsibilities:

1. Algorithm Development and Implementation:

   • Design and develop computer vision algorithms and models for image/video analysis, object detection, tracking, recognition, and classification.
   • Implement and optimize algorithms using programming languages such as Python, C++, or frameworks like OpenCV, TensorFlow, PyTorch, or similar.
   • Ensure algorithms are robust, scalable, and efficient for real-time applications and large-scale data processing.

2. Data Preparation and Annotation:

   • Collect, preprocess, and curate datasets for training and evaluation of computer vision models.
   • Perform data augmentation, feature extraction, and annotation to enhance model performance and accuracy.
   • Collaborate with data scientists and domain experts to understand data requirements and domain-specific challenges.

3. Model Training and Evaluation:

   • Train, fine-tune, and evaluate deep learning models for computer vision tasks using annotated datasets.
   • Conduct performance analysis, validation, and optimization of models to achieve desired accuracy and reliability.
   • Implement transfer learning and other techniques to leverage pre-trained models and adapt them to specific applications.

4. Integration and Deployment:

   • Integrate computer vision models and algorithms into existing software applications or platforms.
   • Collaborate with software engineers to ensure seamless deployment, integration, and scalability of computer vision solutions.
   • Conduct testing, debugging, and performance tuning of computer vision systems in various environments.

5. Research and Innovation:

   • Stay updated on the latest advancements in computer vision, image processing, and machine learning research.
   • Experiment with new algorithms, techniques, and technologies to improve the performance and capabilities of computer vision systems.
   • Collaborate on research projects, publish findings, and contribute to intellectual property development in the field of computer vision.

6. Documentation and Communication:

   • Document technical specifications, design decisions, and implementation details for computer vision projects.
   • Present findings, progress updates, and project outcomes to stakeholders and cross-functional teams.
   • Collaborate effectively with team members, including researchers, engineers, and product managers, to achieve project goals and deliverables.

Compensation:

• Competitive base salary commensurate with experience and qualifications.
• Performance-based bonuses or incentives tied to project milestones, algorithm performance, and business impact.
• Comprehensive benefits package including health insurance, retirement plans, and professional development opportunities.
• Potential for career growth and advancement within the organization based on performance and contributions.