ADAS Data Science & Machine Learning Engineer

Role Overview: As an ADAS Data Science Machine Learning Engineer, you will be responsible for designing and developing advanced driver assistance systems (ADAS) using machine learning algorithms. You will collaborate with cross-functional teams to integrate ADAS solutions into vehicle infotainment systems and develop and maintain large datasets for training and testing ADAS models. Your role will involve implementing data-driven approaches to improve the performance of ADAS systems and working closely with the software development team to ensure seamless integration of ADAS solutions. Additionally, you will continuously monitor and evaluate the performance of ADAS systems to identify areas for improvement. Key Responsibilities: - Design and develop advanced driver assistance systems (ADAS) using machine learning algorithms. - Collaborate with cross-functional teams to integrate ADAS solutions into vehicle infotainment systems. - Develop and maintain large datasets for training and testing ADAS models. - Implement data-driven approaches to improve the performance of ADAS systems. - Work closely with the software development team to ensure seamless integration of ADAS solutions. - Continuously monitor and evaluate the performance of ADAS systems to identify areas for improvement. Qualifications Required: - Strong knowledge of machine learning algorithms and their applications in automotive industries. - Experience with data analysis and visualization tools such as Python or R. - Familiarity with programming languages such as C++, Java, or Python. - Understanding of computer vision and sensor fusion techniques. - Excellent problem-solving skills and attention to detail. - Ability to work collaboratively in a team setting and communicate effectively with stakeholders. Role Overview: As an ADAS Data Science Machine Learning Engineer, you will be responsible for designing and developing advanced driver assistance systems (ADAS) using machine learning algorithms. You will collaborate with cross-functional teams to integrate ADAS solutions into vehicle infotainment systems and develop and maintain large datasets for training and testing ADAS models. Your role will involve implementing data-driven approaches to improve the performance of ADAS systems and working closely with the software development team to ensure seamless integration of ADAS solutions. Additionally, you will continuously monitor and evaluate the performance of ADAS systems to identify areas for improvement. Key Responsibilities: - Design and develop advanced driver assistance systems (ADAS) using machine learning algorithms. - Collaborate with cross-functional teams to integrate ADAS solutions into vehicle infotainment systems. - Develop and maintain large datasets for training and testing ADAS models. - Implement data-driven approaches to improve the performance of ADAS systems. - Work closely with the software development team to ensure seamless integration of ADAS solutions. - Continuously monitor and evaluate the performance of ADAS systems to identify areas for improvement. Qualifications Required: - Strong knowledge of machine learning algorithms and their applications in automotive industries. - Experience with data analysis and visualization tools such as Python or R. - Familiarity with programming languages such as C++, Java, or Python. - Understanding of computer vision and sensor fusion techniques. - Excellent problem-solving skills and attention to detail. - Ability to work collaboratively in a team setting and communicate effectively with stakeholders.