Computer Vision Applied Machine Learning Engineer at ECR Software Corporation

, , United States -

Full Time

Start Date

Immediate

Expiry Date

05 Aug, 26

Salary

0.0

Posted On

07 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Machine Learning, Python, Java, C/C++, PyTorch, TensorFlow, Image Classification, Object Detection, Image Processing, Deep Learning, Edge Devices, SQL, Software Testing, Convolutional Neural Networks, Relational Databases

Industry

Software Development

Description

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, andmaintaincomputer applications and software packages to handle specific jobs based on machine learning. * Developand directsoftware system testing and validation procedures. * Review andmodifyexisting software to correct errors,adapt tonewhardware, andupgradeinterfacesand 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 3-5years of industry experience in computer vision delivering successful solutions. * Good understanding of machine learning,statistics,and mathematics. * Experience andexceptionally goodproficiencyin PythonandJava,or C/C++. * Proficientknowledge andexperience with image classification, detection, tracking, etc. * Proficiencyin image/video processing and computer vision tools. * Proficiencyin machine learning tools and frameworks such asPyTorch,TensorFlowor similar. * Experienceworkingwith edge devices. * Experience with modern deep learning techniques in CV including convolutional networks, residual networks, attentional models, etc. * Familiarity with machine learning workflow. * Familiarity withcloud-basedmachine 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 retailenvironment & operations. * Strong written and verbal communication skills. PREFERRED QUALIFICATIONS: * Experience with deep learning infrastructure is a plus. * Experience with NLP is a plus. * Proficiencyin 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: ECRS is a fast-paced, progressive technology company with a wide range of opportunities for quality-oriented, career-minded individuals. Geographically situated in the heart of the Blue Ridge Mountains, ECRS offers the unique opportunity of a high-tech career in a resort college town setting. The ECRS family is made up of energetic, outgoing professionals who love what they do for a living. They are courteous, knowledgeable people who strive for excellence in everything they do. ECRS employees work together in dynamic teams to create, sell, install, and support our best-in-class retail automation solutions. We believe that acceptance of diversity is a key reason as to why we're successful. All qualified applicants who can demonstrate integrity and competence will receive consideration for employment and advancement without regard to race, color, religion, gender, sexual orientation, disability, age, political affiliation, or national origin.

Responsibilities

Research, design, and develop machine learning models and software systems to solve real-world computer vision problems. This includes maintaining software packages, conducting system validation, and upgrading interfaces to improve performance.