Aptiv

Machine Learning Engineer

China · Work style not stated · Full time

Posted over 6 months ago: check it’s still open

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerAptiv
LocationChina
Work styleWork style not stated
Employment typeFull time
Employer posted1 Aug 2024

Major Accountabilities:

Develop and evaluate machine learning models for various AI applications, leveraging techniques such as supervised learning, unsupervised learning, and reinforcement learning.
Conduct thorough model evaluation and validation, including performance metrics analysis, to ensure accuracy, reliability, and robustness.
Implement and optimize automated machine learning (AutoML) pipelines and frameworks to streamline model development, training, and deployment processes.
Utilize AutoML tools and techniques to automate feature engineering, model selection, and hyperparameter tuning for improved efficiency and scalability.
Utilize cloud computing platforms such as AWS, Azure, or Google Cloud to deploy and scale machine learning models and applications.
Leverage cloud-based services and resources for data storage, processing, and analysis to support AI/ML workflows and pipelines.
Implement continuous integration and continuous development (CICD) pipelines and practices to automate model deployment, testing, and monitoring.
Integrate AI/ML solutions into existing CICD workflows, ensuring seamless integration with software development processes.
Apply knowledge of automotive product development processes and industry standards to design and develop AI/ML solutions for automotive applications.
Collaborate with cross-functional teams to understand product requirements, specifications, and constraints, ensuring alignment with automotive development practices.
Design and conduct A/B tests and experiments to evaluate the effectiveness and impact of AI/ML models and algorithms in real-world scenarios.
Analyze test results and make data-driven recommendations for model improvements and optimizations based on observed performance metrics.
Develop and orchestrate ML workflows using Kubeflow Pipelines to automate model training, evaluation, and deployment processes in Kubernetes environments.
Implement continuous integration and delivery pipelines using Jenkins to automate build, test, and deployment tasks for AI/ML projects.

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Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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