Computer Vision Applied Machine Learning Engineer

JOB SUMMARY:

The research team at ECRS is looking for a talented, experienced individual who is fearless in tackling real world problems with efficient, practical Machine Learning (ML) solutions and demonstrate excellence in computer vision.

RESPONSIBILITIES:

• Research, design, develop and train new machine learning models or adapt and apply existing models and applications.
• Design or develop software systems using design and functional specifications, scientific analysis, good software development practices, and mathematical models.
• Write, update, and maintain computer applications and software packages to handle specific jobs based on machine learning.
• Develop and direct software system testing and validation procedures.
• Review and modify existing software to correct errors, adapt to new hardware, and upgrade interfaces and improve performance.
• Direct software programming and development of corresponding documentation.

REQUIRED QUALIFICATIONS:

• Advanced degree in Computer Science, Statistics, Mathematics or similar, or a comparable career in the industry with an exceptionally good record of successful projects.
• Minimum 3-5 years of industry experience in computer vision delivering successful solutions.
• Good understanding of machine learning, statistics, and mathematics.
• Experience and exceptionally good proficiency in Python and Java, or C/C++.
• Proficient knowledge and experience with image classification, detection, tracking, etc.
• Proficiency in image/video processing and computer vision tools.
• Proficiency in machine learning tools and frameworks such as PyTorch, TensorFlow or similar.
• Experience working with edge devices.
• Experience with modern deep learning techniques in CV including convolutional networks, residual networks, attentional models, etc.
• Familiarity with machine learning workflow.
• Familiarity with cloud-based machine learning platforms.
• Experience in software testing and debugging including the use of automated testing processes.
• Familiarity with relational databases.
• Familiarity with SQL.
• Basic understanding of a retail environment & operations.
• Strong written and verbal communication skills.

PREFERRED QUALIFICATIONS:

• Experience with deep learning infrastructure is a plus.
• Experience with NLP is a plus.
• Proficiency in statistical analysis is a plus.
• Experience with parallel computing technologies or distributed computing techniques is a plus.

ALL APPLICANTS MUST BE AUTHORIZED TO WORK IN THE UNITED STATES.ABOUT ECRS:**