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The AI/ML Scientist Manager will lead the deployment of AI solutions, ensuring best practices in model operationalization. Responsibilities include framework development, collaborative implementation with Data Scientists, team leadership of ML engineers, managing ML operations with ML Flow, and overseeing CI/CD pipelines.
The role involves leading and mentoring a team of ML engineers, developing frameworks for AI model deployment, assuring code quality through CI/CD processes, and collaborating with various stakeholders to transition AI PoCs into production applications. A strong emphasis is placed on operationalizing AI models and maintaining best practices in machine learning operations.
The Senior Prognostics Data Engineer will design and deploy advanced signal processing methods for prognostics applications, lead failure mode analysis, analyze sensor data, develop health monitoring models, and optimize signal processing algorithms, collaborating with cross-functional teams and fostering continuous learning.
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As a Senior Manager in the Vehicle Applications & Services Team, you will lead the design, development, and testing of automotive infotainment application software. Your role involves managing local and overseas teams, developing strategies to meet business goals, and ensuring timely releases of quality software products, while embracing agile practices.
The Industrial Engineer will use lean concepts to eliminate waste in manufacturing processes, optimize operations, conduct time studies, and maintain accurate workstation layouts. They will collaborate with production teams to drive continuous improvement efforts and design work operations that comply with safety and efficiency standards.
The role involves overseeing automation projects in automotive assembly plants, requiring in-depth knowledge of control systems and programming skills. Responsibilities include supervising project scopes, training suppliers, validating designs, performing root cause analysis, and coordinating globally. Key technologies include Rockwell PLC and Siemens HMI software, as well as Emulate 3D for modeling.
The Staff Machine Learning Engineer will lead the development of a marketing experimentation platform, working with cross-functional teams to design scalable ML products for optimization and ROI measurement. Responsibilities include system architecture, stakeholder collaboration, and improving ML engineering practices.
As a Propulsion Engineer, you will create 1D ICE/Hybrid engine models supporting design phases, assist in dyno calibration using virtual tools, and contribute to the development of these tools. You will utilize your expertise in engine calibration and vehicle validation processes to support extensive engineering analysis and decision-making.
The role involves creating 1D ICE/Hybrid Engine Models for design and development phases, supporting dyno calibration teams, and applying virtual calibration tools. The engineer will also contribute to virtual tools development and leverage their knowledge of combustion principles.
The In-vehicle Engine Calibration Engineer will be responsible for creating and maintaining calibration development plans, delivering calibration data sets, troubleshooting systems, supporting test bench development, and participating in product development teams. The role requires interaction with various teams to improve process efficiency and data quality.
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