Computer Vision Engineer

 

Description:

Techolution is looking out for a smart and dynamic AI Engineer with Computer Vision Expertise to help us achieve the set vision and mission of the organization. Experienced with implementing and maintaining advanced machine learning algorithms and models. Ideal candidate is responsible for ML Model versioning and deployment and to ensure the standard quality, best practices for the business.

 

Requirements:

  • Proficient with Computer Vision, Image Processing and data processing. Highly Contributes to the implementation, refinement and validation of machine learning algorithms for products and applications
  • Excellent in writing modular object-oriented Python code
  • Experience in deep learning frameworks like PyTorch/ Tensorflow
  • Design and develop novel computer vision and/or machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding as well as, segmentation, face tracking
  • Strong experience with Python, good programming and problem-solving skills
  • Familiarity with the deployment of AI models on edge devices.
  • Designs proof of concept solutions and contributes to studies to support future product or application development
  • An aggressive team player, Self motivated & Starter
  • Great attention to detail the Organizational skills with distinctive problem solving, an analytical mind and proactive in nature
  • Excellent communication skills (both oral and written), presentation skills

 

Preferred Skills:

  • Experience with Machine Learning, Model Versioning and Deployment. Good knowledge of Cloud Deployment
  • Proficient with scripting languages (Bash/Shell)
  • Experience with working on Linux System Administration
  • Well-versed with Docker & Kubernetes

 

Organization techolution
Industry IT / Telecom / Software Jobs
Occupational Category Computer Vision Engineer
Job Location New York,USA
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Intermediate
Experience 2 Years
Posted at 2025-01-28 7:09 pm
Expires on 2025-03-14