Job Description:

A Computer Vision/Deep Learning Engineer is responsible for designing, developing, and deploying computer vision and deep learning models to solve complex problems. The Computer Vision/Deep Learning Engineer works closely with data scientists, software engineers, and product managers to build, test, and deploy models into production environments.

Responsibilities:

1. Develop computer vision and deep learning models to solve complex business problems
2. Collaborate with data scientists, software engineers, and product managers to design, develop, and deploy computer vision models
3. Implement and optimize computer vision algorithms for object detection, recognition, segmentation, and tracking
4. Design and implement deep learning models using frameworks such as TensorFlow, Keras, and PyTorch
5. Conduct experiments to evaluate model performance, identify areas for improvement, and implement solutions to optimize performance
6. Perform data analysis and feature engineering to prepare data for computer vision and deep learning models
7. Develop automated tools and processes for monitoring and maintaining computer vision models in production
8. Stay up-to-date with the latest research and advancements in computer vision and deep learning

Preferred Qualifications:

1. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, or related field
2. Strong experience in computer vision, deep learning, and image processing
3. Proficiency in programming languages such as Python, C++, and MATLAB
4. Experience with computer vision libraries such as OpenCV, Pillow, and scikit-image
5. Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
6. Familiarity with big data technologies such as Hadoop, Spark, and Kafka
7. Knowledge of database technologies such as SQL and NoSQL
8. Strong problem-solving and analytical skills
9. Excellent communication and collaboration skills
10. Ability to work independently and in a team environment.