Computer Vision Engineer

About the job
Responsibilities

 Design, develop, and deploy machine learning algorithms and models, with a focus on

computer vision, OCR applications

 Implement and fine-tune Optical Character Recognition (OCR) systems to extract

meaningful information from documents(Pdf's) and images(CAD drawings)

 Utilize techniques and frameworks such as OpenCV, Hugging Face Transformers to

implement computer vision and large language models

 Good Knowledge of Generative AI specially Vision Transformers models and there

application for CV tasks

 Apply expertise in artificial intelligence to design and optimize algorithms for specific use

cases

 Collaborate with cross-functional teams to understand project requirements and deliver high-

quality solutions.

 Stay abreast of the latest developments in AI/ML technologies and incorporate best practices

into our projects.

 Troubleshoot, debug, and optimize existing machine learning models for performance

improvements.

QUALIFICATIONS: REQUIRED QUALIFICATIONS and Experience

 Bachelor’s or master’s degree in computer science, Engineering, or a related field.

 4-8 years of hands-on experience in AI/ML development.

 Proficiency in Python programming language.

 Experience in OpenCV, Keras/PyTorch/Tensorflow Deep Learning/Machine Learning,

Computer Vision , OCR , Vision Transformers , API

 Strong background in machine learning algorithms and frameworks.

 Experience in Optical Character Recognition (OCR) implementation.

 Experience deploying models into production environments.

 Experience working with large and complex datasets.

 Excellent problem-solving skills and the ability to work independently or collaboratively.

 Effective communication skills to convey complex technical concepts to non-technical