Machine Learning Engineer Job in Quantiphi

First-hand experience with deploying and maintaining deep learning systems and services in
production at scale.
Experience in hands-on development and troubleshooting on embedded targets
Research and develop continual learning and personalization ML algorithms
Innovate novel methods to improve AI on-device performance, model size and accuracy
Develop state-of-the-art solutions for real-world problems through AI & ML with
commercialization goals
Have technical responsibility for one or more significant sections of the assigned project
Translate complex functional and technical requirements into detailed design
Research existing research papers on Computer Vision & enhance existing Open-Source
models.
Managing the technical risks across different projects and empowering the team to achieve
great results.
Bringing in the technical expertise around the implementation of best coding standards and
practices across the team.
Good understanding of the architecture of Linux, QNX or any other modern embedded OS
Ability to communicate design, status, and other complex subjects in written, visual, and oral
formats
Design and implement software of embedded devices and systems from requirements to
production and commercial deployment
Review code and design
Analyze and enhance efficiency, stability and scalability of system resources
Integrate and validate new product designs

Support software QA and optimize I/O performance
Provide post production support
Interface with hardware design and development
Assess third party and open source software
Experience with Agile/Scrum software development methodologies
Must know how to leverage JIRA, GitLab for release management