Machine Learning Engineer Automobile Engineer
4 weeks ago
- Collaborate withcrossfunctional teams to identify opportunities for leveragingmachine learning techniques in automotiveengineering
- Design develop and deploy machinelearning models and algorithms to enhance vehicle performancesafety and autonomous systems
- Analyze largedatasets to extract meaningful insights and contribute to thecontinuous improvement of automotivesystems
- Implement predictive maintenancetechniques to optimize vehicle reliability and reducedowntime
- Research and stay updated on thelatest advancements in machine learning and AI technologiesrelevant to the automotive industry
- Conductexperiments to validate the performance of machine learning modelsand algorithms in realworld automotivescenarios
- Collaborate with automotive engineersto integrate machine learning solutions into vehicle designs andsystems
- Optimize and finetune machine learningmodels to achieve the desired automotive engineeringobjectives
- Contribute to the development ofscalable and efficient machine learning infrastructure forautomotive applications
- Participate in codereviews provide feedback and adhere to best practices in machinelearning engineering
- Document and communicatetechnical approaches findings and insights to stakeholders and teammembers
- Provide mentorship and guidance tojunior machine learning engineers and crossfunctional teammembers
- Collaborate with external partners andvendors to leverage expertise and resources in machine learning forautomotive engineering
- Bachelor s or Masters degree in Computer Science Electrical Engineering AutomotiveEngineering or a related field
- Provenexperience in developing and implementing machine learning modelsand algorithms
- Proficiency in programminglanguages such as Python R Java or C for machine learningapplications
- Strong understanding ofstatistical analysis data mining and data visualizationtechniques
- Experience in working with largedatasets and applying machine learning techniques to automotiveengineering problems
- Demonstrated knowledge ofdeep learning frameworks such as TensorFlow PyTorch orKeras
- Expertise in applying machine learning toareas such as computer vision natural language processing andreinforcement learning
- Knowledge of automotivesystems components and engineeringprinciples
- Excellent problemsolving skills witha focus on practical and impactful solutions for automotiveengineering challenges
- Effective communicationskills and the ability to collaborate in a crossfunctional teamenvironment
- Experience with version controlsystems and agile software developmentmethodologies
- Understanding of cloud computingplatforms and distributed computing environments for machinelearning applications
- Ability to adapt tochanging priorities and deliver highquality results in a fastpacedautomotive engineering environment
- Strongattention to detail and a passion for continuous learning andprofessional development in machine learning and automotiveengineering
machine learning,dataanalysis,automotive engineering
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