About this role
Summary: Design and implement advanced algorithms to detect defects and evaluate video quality using computer vision and machine learning. Optimize solutions for low latency and cost-effective operation while managing the full ML lifecycle.
About the role:
We're thrilled
to present an incredible career opportunity! We're recruiting on behalf of a
renowned multinational company based in the United Kingdom, seeking a Machine
Learning Engineer, Video Quality Analysis.
Whatyou’ll do:
As a key contributor, you will
help develop innovative solutions by designing and implementing advanced
algorithms to detect defects and evaluate overall video quality. This role
involves leveraging the latest technologies, including foundational models,
transformer-based architectures, masked autoencoders, image processing, image
analysis, computer vision, and machine learning. A primary focus will be on
optimizing these algorithms to ensure they deliver accurate, efficient, and
reliable results in near real-time.
Keyresponsibilities:
- Develop detectors using
advanced computer vision and machine learning (ML) techniques.
- Optimize solutions to
ensure low latency and cost-effective operation at scale for customers.
- Apply deep knowledge of the
Machine Learning lifecycle, including model training, optimization,
experimentation, and maintenance.
- Leverage core
SDE computer science skills combined with a strong understanding of statistics
and math to analyse algorithmic performance.
### Requirements
BASICQUALIFICATIONS
- Experience contributing to the architecture and design
(architecture, design patterns, reliability and scaling) of new and current
systems
- Experience programming with at least one modern language such as Java, C++,
or C# including object-oriented design
- Experience in professional, non-internship software development
- Master's degree in Machine Learning, Applied Mathematics, Operations Research
or a related field, or equivalent work experience
PREFERREDQUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding
standards, code reviews, source control management, build processes, testing,
and operations
- Experience with developing and deploying Machine Learning Operations (MLOps)
at scale
- Experience with large scale foundational models and transformer-based
architecture (GenAI)
### Benefits
- Immigration support: The company provides support for your immigration process to
the United Kingdom.
- Competitive Salary: Enjoy a competitive salary package reflective of your
skills and experience.
- Global Experience: Gain international experience by working with a
diverse team in a dynamic region.