Machine Learning Engineer Automobile Engineer - Sany, India - Bista Univarsal Limited

Description

Machine LearningEngineer

Overview:

KeyResponsibilities:

• 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

RequiredQualifications:

• 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