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.
Basic 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.
Tags & focus areas
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