Prepare project estimates for costs, resources, and timelines; allocate resources and assign responsibilities to ensure project objectives are achieved.
Collaborate with cross-functional teams, including Engineering, Technical, Drafting, Manufacturing, and other operational functions, to secure necessary expertise and support.
Coordinate and manage external contractors and suppliers, ensuring seamless integration into project activities and delivery of agreed service standards.
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Generate and validate S-parameter models for signal and power integrity applications.
Develop and maintain reusable PI simulation models and collateral for customer support and design enablement.
Translate board/package layouts and simulation results into technical documentation, including PIER reports and Platform Design Guides, for internal and external customers.
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Partnering or lead solution deliveries with IT technical team and business to ensure successful and on-time delivery of projects related to system and business processes
Experience with automation testing tools such as Selenium, Appium, Eggplant or similar.
Strong understanding of software testing methodologies and practices and ability to perform the role of QA Lead
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Work closely with the global Center of Competence (CoC) and the related sub-CoC group.
Drive projects and processes in accordance with the respective valid operating instructions and standard operating procedures (SOPs).
Assist in developing suitable strategies to execute governance over the core process within the area of regional responsibility defined for the BMI B Braun Technology Center- Asia Pacific (BTC-AP) in accordance with Operating Model Medical (OMM).
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Technical Implementation & Testing Management: Lead commissioning and technical implementation of MES solutions; manage acceptance test creation, execution, and approval; monitor technical implementations and support during ramp‑up.
Support & Collaboration : Collaborate closely with template and local teams, act as 2nd‑level support for template functions, and ensure effective engagement with MES partners and stakeholders.
For a more senior position level, manage all aspects of a large scale, complex, or significant engineering project, from start to finish, so that it is completed on time and within budget.
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Responsible for applying global quality requirements related to B. Braun's production sites worldwide. Assist in developing project concepts and feasibility studies on best practice for manufacturing.
Work closely with the Research and Development (R&D) team in product development and design for manufacturability. Work with other functional teams such as Engineering, Quality, Supply Chain, Procurement etc. to improve quality and yield of production center.
For more senior position level, shall provide training concepts and provide recommendations for developing junior project managers in the department.
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Assist in developing strategies to execute governance over core processes within the regional responsibility of the BMI B Braun Technology Center-Asia Pacific (BTC-AP) in accordance with Operating Model Medical (OMM).
Collaborate with production and R&D to promote simultaneous engineering for combined product and process development, aiming to generate manufacturable new products in line with the Center of Excellence (CoE) and division’s needs.
Assist in early evaluations of manufacturing technology suppliers in the Asia Pacific (APAC) region to enhance B. Braun’s manufacturing capabilities, especially in innovative automation technologies. For senior positions, provide training concepts and execution recommendations for technically skilled workers, to be implemented by a technical training center.
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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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