Associate Engineer - Embedded AI & Data Analytics

As an Embedded AI Data Analytics Engineer at HARMAN Automotive, you will play a crucial role in developing and implementing data analytics solutions for embedded and edge systems. Your responsibilities will involve working with statistical and machine learning techniques such as regression, classification, and data modeling. You will also be involved in building intelligent analytics pipelines, observability frameworks, and AI-driven insights for automotive and embedded applications. Key Responsibilities: - Develop and implement data analytics solutions for embedded and edge systems - Utilize statistical and machine learning techniques for regression, classification, data modeling, and analysis - Build and support LLM-based analytics workflows for intelligent data processing - Work on data pipelines and observability frameworks, including telemetry data collection and monitoring - Develop data processing scripts and tools using Python / C++ - Perform data validation, analysis, and reporting to support system insights - Collaborate with cross-functional teams to integrate analytics into embedded software systems - Support development of AI-driven use cases in areas like diagnostics, monitoring, and system optimization Qualifications Required: - 1-3 years of experience in Data Analytics / Machine Learning / Software Development - Strong hands-on experience in Python programming (NumPy, Statsmodels, Pandas preferred), data analysis, and statistical modeling - Understanding of regression and classification techniques, data preprocessing, and feature engineering - Exposure to LLM-based analytics workflows and basic prompt engineering - Knowledge of data observability concepts, including telemetry pipelines and monitoring frameworks - Good programming skills in Python (preferred) and C++ (added advantage) Additional Company Details: HARMAN Automotive is a global, multi-disciplinary team dedicated to leveraging technology to enhance the driving experience. The company fosters innovation, collaboration, and excellence in design and engineering, allowing employees to fast-track their careers in a dynamic and forward-thinking environment. As an Embedded AI Data Analytics Engineer at HARMAN Automotive, you will play a crucial role in developing and implementing data analytics solutions for embedded and edge systems. Your responsibilities will involve working with statistical and machine learning techniques such as regression, classification, and data modeling. You will also be involved in building intelligent analytics pipelines, observability frameworks, and AI-driven insights for automotive and embedded applications. Key Responsibilities: - Develop and implement data analytics solutions for embedded and edge systems - Utilize statistical and machine learning techniques for regression, classification, data modeling, and analysis - Build and support LLM-based analytics workflows for intelligent data processing - Work on data pipelines and observability frameworks, including telemetry data collection and monitoring - Develop data processing scripts and tools using Python / C++ - Perform data validation, analysis, and reporting to support system insights - Collaborate with cross-functional teams to integrate analytics into embedded software systems - Support development of AI-driven use cases in areas like diagnostics, monitoring, and system optimization Qualifications Required: - 1-3 years of experience in Data Analytics / Machine Learning / Software Development - Strong hands-on experience in Python programming (NumPy, Statsmodels, Pandas preferred), data analysis, and statistical modeling - Understanding of regression and classification techniques, data preprocessing, and feature engineering - Exposure to LLM-based analytics workflows and basic prompt engineering - Knowledge of data observability concepts, including telemetry pipelines and monitoring frameworks - Good programming skills in Python (preferred) and C++ (added advantage) Additional Company Details: HARMAN Automotive is a global, multi-disciplinary team dedicated to leveraging technology to enhance the driving experience. The company fosters innovation, collaboration, and excellence in design and engineering, allowing employees to fast-track their careers in a dynamic and forward-thinking environment.