Joining Period : Immediate to 1 Month.

6 Months Contract.

Experience : 3-6 Years.

Required Skills : Deep learning, Computer Vision , Docker, Python AWS or Azure &.

Gen AI (Good to have).

Position Overview :

We are seeking a talented and experienced Computer Vision Engineer with a minimum of 3 years of relevant experience in computer vision, data science, machine learning, or related fields.

The ideal candidate will have a strong background in developing and implementing computer vision algorithms and models to solve real-world problems.

This role requires expertise in various programming languages, tools, and frameworks commonly used in machine learning and computer vision applications.

Key Responsibilities :

- Develop and implement computer vision algorithms and models for various use cases including but not limited to object detection, image classification, text detection & OCR, face detection, generative models, video analytics, and model compression/optimization.

- Collaborate with cross-functional teams including software engineers, data scientists, and product managers to design and deploy scalable computer vision solutions.

- Research and experiment with cutting-edge techniques and technologies in computer vision to continuously improve the performance and accuracy of our models.

- Optimize and fine-tune existing models for speed, accuracy, and scalability.

- Work with large-scale datasets and utilize distributed training/inference techniques for efficient model training and deployment.

- Stay up to date with the latest advancements in computer vision, machine learning, and related fields, and apply them to solve business challenges.

Minimum Qualifications :

- Bachelors degree in computer science, Electrical Engineering, Mathematics, or related field.

- Master's degree or Ph.D is preferred.

- 2+ years of relevant experience as a Computer Vision Engineer, Data Scientist, Machine Learning Engineer, or related role.

- Strong proficiency in programming languages such as Python (required).

- Hands-on experience with popular machine learning frameworks such as TensorFlow, PyTorch, and Keras.

- Familiarity with tools and libraries commonly used in computer vision projects such as CUDA, OpenCL, OpenGL, and OpenCV.

- Proven track record of delivering successful computer vision projects with expertise in object detection, image classification, text detection & OCR, face detection, generative models, video analytics, and model compression/optimization.

- Excellent problem-solving skills and the ability to work independently as well as part of a team.

Preferred Qualifications :

- Master's degree or Ph.D in Computer Science, Electrical Engineering, Mathematics, or related field.

- Proficiency in PyTorch is preferable.

- Strong understanding of deep learning architectures and techniques.

- Publications or contributions to the computer vision or machine learning community.