Responsible to develop User’s Requirement Specification (URS) and Functional Specification (FS)
Driving the collaboration between process development and R&D to promote the simultaneous engineering process for combined product and process development with the aim of generating manufacturable new products in accordance with the CoE’s and division’s needs. Conduct early evaluations of manufacturing technology suppliers in APAC region which would enhance B. Braun manufacturing capabilities, especially in the area of innovative process technologies.
Provide training concepts and execution recommendations for technically skilled workers, to be implemented by a technical training center.
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Act as liaison between Research and Development Teams and Manufacturing Operations Organization to provide potential corrective actions and feedback based on root cause determinations.
Perform advanced unit, integration, and systems verification and validation testing using HW/SW tools. Review others testing methodologies and algorithms or hardware to ensure optimal test cases as needed.
Work closely with other project team members as needed to ensure the final combined product has compatible software, electronic hardware, and mechanical hardware which functions properly together and performs at levels specified in the product specifications.
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Bachelor's Degree in Engineering (Electrical/Electronic) or Professional Degree in Electrical/Electronic Engineering or in Engineering Mechatronic.
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Collaborate with Manufacturing teams to incorporate Design for Manufacturability (DFM) improvements that enhance product quality, yield, and reliability.
Develop proof-of-concept (POC) designs and prototypes to validate redesign approaches and gain technical approval from RF domain experts.
Support PCB layout reviews and contribute to filter, analog, and RF circuit design improvements.
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The Execution Engineer leads project development and technical realization activities for new product development.
The role ensures that product meets customer, regulatory, and technical requirements while complying with Bosch processes and the Product Innovation Framework (PIF).
Develop, optimize, and maintain mechanical component designs (plastic/metal).
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Good understanding of IT systems and technologies, including SQL, Oracle, Linux, Python, and scripting languages.
Highly motivated and proactive, with the ability to take ownership of applications and projects while serving as a key interface between Process Engineering and Automation teams.
Excellent command of the English language, both written and spoken, is mandatory.
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7+ years of hands-on experience in Data Science, Machine Learning, LLMs and AI.
Deep understanding of Retrieval-Augmented Generation (RAG) architectures, including embeddings, vector databases, semantic search, and retrieval optimization techniques.
Knowledge of Knowledge Graphs, semantic data models, ontologies, graph databases (e.g., Neo4j), and their application in enterprise AI solutions.
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Evaluate, fine-tune, and improve AI systems through structured testing, quality measurement, safety guardrails, and hallucination reduction techniques.
Design and implementation of machine learning models in different domains (e.g. SCM, Manufacturing, Product Management and Corporate Functions) following the CRISP- DM process.
Train, fine-tune, and optimize deep learning models for various applications.
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Integrate DFM inputs from MFG to improve product yield & quality
Research and propose alternative parts with effective solutions in consideration of avoiding major software & product calibration, hardware topology changes to replace EOL parts in RF products.
Proactive in doing mock-up design as POC (Proof of Concept) to strengthen re-design proposal to get final approval from RF domain leaders.
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