Job Description

Hello,

Hope you are doing good!!

Position: Computer Vision Engineers

Location: Remote

We are looking for candidates with strong coding skills in Python . They need to be proficient in Numpy, Pandas, sklearn and have solid understanding of Machine Learning and Deep Learning concepts.

* Prior involvement in computer vision use cases such as Object detection, Image segmentation, OCR, Object tracking and Experience with tools and frameworks like Torch, Tensorflow, Triton Inference Server, TensorRT optimization, and NVIDIA DeepStream is a plus

• Research latest industry trends in CI/CD of computer vision models.
• Deploy computer vision models on cloud or edge infrastructures.
• Migrate existing computer vision pipeline to different cloud infrastructures.
• Perform computer vision POC's on different infrastructures.

Your Qualifications:

• Proficiency with cloud computing resources.
• Experience applying machine learning and computer vision algorithm on different applications.
• Demonstrated expertise in architecting and deploying test automation solutions at scale.
• Experience integrating E2E automated test cases in CI/CD pipeline.

You'll really wow us if

• Your ability to rise above group think and see beyond the here and now is matched only by your intellectual curiosity.
• You come to the table with a comprehensive knowledge of JAVA as well as Agile methodologies.
• You consider yourself to be a student of the world who thrives in an ever-changing environment that holds within it new challenges and chances to prove your expertise.
• You level up when you have the opportunity to teach others and empower those around you to excel.

You'll make an impact by

• Effectively translating requirements into project parameters while working with agility from cradle to grave.
• Helping cross-functional teams to solve for business problems and develop solutions that enable us to redefine a "best-in-class" customer experience.
• Encouraging the project teams that you oversee to work collaboratively and to aim for insight-driven outcomes.

Thanks,

Sudhanshu Srivastava

Email - [email protected]

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