Jobs
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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- 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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About Aptiv
Reviews
3.8
5 reviews
Work Life Balance
2.5
Compensation
2.8
Culture
3.2
Career
3.0
Management
2.3
Pros
Cutting-edge automotive technology and innovation
Interesting projects with real impact
Great team members and colleagues
Cons
Poor work-life balance during projects
Job instability and mass layoffs
Bad management and leadership
Salary Ranges
295 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$67,909
total / year
Base
$27,164
Stock
$33,955
Bonus
$6,791
$47,536
$88,282
Interview Experience
4 interviews
Difficulty
3.8
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview Process
1
Application Review
2
Resume Review
3
Recruiter Screen
4
Phone Interview
5
Final Interview
6
Offer Decision
Common Questions
Behavioral/STAR
Past Experience
Culture Fit
Industry Knowledge
Leadership Scenarios
News & Buzz
Earnings Outlook For Aptiv - Benzinga
Source: Benzinga
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5w ago
Truist Financial Corp Grows Stake in Aptiv PLC $APTV - MarketBeat
Source: MarketBeat
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·
5w ago
IBD Rating Upgrades: Aptiv Shows Improved Relative Price Strength - Investor's Business Daily
Source: Investor's Business Daily
News
·
5w ago
Aptiv Finalizes Versigent Spin Off Leadership As Valuation Gap Persists - simplywall.st
Source: simplywall.st
News
·
5w ago




