Senior Machine Learning Engineer - ADAS
Role details
Job location
Tech stack
Job description
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Develop and implement scalable data pipelines and infrastructure for computer vision and machine learning applications, to boost the performance of manual operators.
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Optimize and improve the performance of existing CV and/or ML solutions, making them performant and production ready.
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Ensure code quality, robustness, and thorough testing of our computer vision solutions.
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Collaborate with cross-functional teams to integrate algorithms into production systems.
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Implement continuous integration and continuous deployment (CI/CD) processes for machine learning models.
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Deploy solutions using Docker containers on cloud platforms such as Azure.
What You'll Need
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Develop and implement scalable data pipelines and infrastructure for computer vision and machine learning applications.
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Accelerate model development lifecycle by building distributed training pipeline.
-
Optimize and improve the performance of existing CV and/or ML solutions, making them performant and production ready.
-
Ensure code quality, robustness, and thorough testing of our computer vision solutions.
-
Collaborate with cross-functional teams to integrate algorithms into production systems.
-
Implement continuous integration and continuous deployment (CI/CD) processes for machine learning models.
-
Deploy solutions using Docker containers on cloud platforms such as Azure.
Requirements
Do you have experience in Docker?
Benefits & conditions
A competitive compensation package, of course. Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O'Reilly and LinkedIn Learning. Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.