Computer Vision Engineer

job summary : Responsibilities :

Responsibilities :

• Serve as an independent subject matter expert for machine learning and computer vison.
• Develop unique and innovative computer vision methods and applications.
• Work in cross-disciplinary teams to implement AI products that will improve efficiency and decision making and enable cost reductions.
• Discover insights and identify opportunities through the use of AI and machine learning techniques.
• Develop standardized data modeling workflows to shorten development cycles.
• Compare various modeling approaches and assess tradeoffs for accuracy, computation speed, and supportability in-field.
• Work with Software Engineers to translate custom modeling tools to executable routines for automation integration.
• Deliver analytical reports and present results to stakeholders and technical team members and maintain IP-related documentation of results.

What you need :

• Master’s degree (preferentially Ph.D.) in Computer Science / machine learning, Applied
• Mathematics, Statistics, Engineering, or related fields.
• Proficiency in : machine learning techniques, computer vision, convolutional neural networks, clustering, generative adversarial networks, feature selection, classification, regression, etc.
• 3-4 years experience with image processing.
• 3-4 years experience (or demonstrated proficiency) using procedural languages including Python and MATLAB.

Skills : Machine Learning, Data Modeling, Python, MATLAB, Statistical Analysis, Image Processing Experience : Experienced3 year(s)

responsibilities :

• Serve as an independent subject matter expert for machine learning and computer vison.
• Develop unique and innovative computer vision methods and applications.
• Work in cross-disciplinary teams to implement AI products that will improve efficiency and decision making and enable cost reductions.
• Discover insights and identify opportunities through the use of AI and machine learning techniques.
• Develop standardized data modeling workflows to shorten development cycles.
• Compare various modeling approaches and assess tradeoffs for accuracy, computation speed, and supportability in-field.
• Work with Software Engineers to translate custom modeling tools to executable routines for automation integration.
• Deliver analytical reports and present results to stakeholders and technical team members and maintain IP-related documentation of results.

What you need :

• Master’s degree (preferentially Ph.D.) in Computer Science / machine learning, Applied
• Mathematics, Statistics, Engineering, or related fields.
• Proficiency in : machine learning techniques, computer vision, convolutional neural networks, clustering, generative adversarial networks, feature selection, classification, regression, etc.
• 3-4 years experience with image processing.
• 3-4 years experience (or demonstrated proficiency) using procedural languages including Python and MATLAB.

The essential functions of this role include :

working in a smoke free environment

qualifications : Experience

Experience

• Experienced
• 3 years

Education

Masters (required)

skills :

• Machine Learning (3 years of experience is required)
• Data Modeling (3 years of experience is required)
• Python (3 years of experience is required)
• MATLAB (3 years of experience is required)
• Statistical Analysis (3 years of experience is required)
• Image Processing (3 years of experience is required)
13 days ago