Senior Computer Vision Engineer

Job Title: Senior Computer Vision Engineer

Location: Bengaluru

Job Type-Contract

Duration-1 year

Job Description: We are seeking a talented and experienced Senior Computer Vision Engineer

to join our team. As a Senior Computer Vision Engineer, you will play a key role in developing

and implementing computer vision algorithms and solutions to solve complex problems in the

manufacturing domain.

Responsibilities:

1. Design, develop, and optimize computer vision algorithms and models for various

applications, such as object detection, recognition, tracking, segmentation, and

classification.

2. Analyze and preprocess data to ensure its suitability for training and testing computer

vision models.

3. Evaluate and benchmark different algorithms and techniques to identify the most

effective solutions for specific tasks and performance requirements.

4. Implement scalable and efficient code using programming languages such as Python,

C++.

5. Optimize computer vision algorithms for real-time performance on various hardware

platforms, including CPUs, GPUs, and specialized accelerators.

6. Develop and maintain software libraries, frameworks, and tools to support the

development and deployment of computer vision applications.

7. Collaborate with the engineering team to integrate computer vision solutions into our

products and services, and ensure their robustness, scalability, and maintainability.

8. Provide technical leadership, mentorship, and guidance to junior engineers, and actively

contribute to the professional growth and development of the team.

Qualifications:

1. Bachelor's, Master's, or Ph.D. degree in Computer Science or related field.

2. 5+ years of experience in computer vision field, with a proven track record of delivering

successful projects and solutions.

3. Strong knowledge of computer vision fundamentals and experience with training and

deploying deep learning models.

4. Proficiency in programming languages such as Python, C++, and experience with

frameworks such as TensorFlow, PyTorch, or OpenCV.

5. Experience with model quantization/optimization for edge deployment.

6. Experience with any MLOps platform.

7. Experience with any cloud computing platforms (e.g., AWS, Azure, Google Cloud).