Monitor and support progress for projects with low to medium levels of complexity and ensure appropriate resource allocations and portfolio prioritization.
Implement, monitor and track audit control mechanisms within area of scope to track performance and provide actionable solutions that contribute to improvements.
Support more senior team members to assess instrumentation and automation engineering development and application opportunities and further dissemination across common practice areas.
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∙ Collaborate with cross-functional teams to conceptualize and develop creative designs for a variety of digital and print assets, including social media graphics, website banners, marketing collateral, and more
Brand Development and Consistency
∙ Ensure all designs are consistent with the company's visual identity and brand guidelines Advanced Design Principles and Visual Communication Techniques
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Deliver actionable demand plans to Supply Planning teams (Sera Planning, site Planning and Procurement) by developing and maintaining aggregate SKU level forecasts in E1 and Sera Master Production Schedule. Integrate regional requirements, NPIs, and other demand signals to create forecasts.
Work closely with Supply Planning to understand risks and opportunities to demand plan. Prepare performance to plan analyses and present to partners in Sales, Finance, Marketing, and Supply Planning through regularly scheduled SIOP meetings.
Monitor demand plan performance (forecast accuracy) by measuring actual vs. planned (including backorders), supply and inventory positions performance. Prepare metrics and distribute to collaborators as feedback for continuous improvement
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Candidates should possess effective communication, presentation, and facilitation skills, with the ability to explain complex topics in clear, accessible language.
Candidates should possess experience in curriculum development, instructional design, or corporate training, preferably within technology-focused organizations.
Candidates should possess strong analytical and problem-solving abilities, with attention to detail and a structured approach to documenting processes and training materials.
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Deployment & Operationalization: Package, deploy, and operationalize machine learning models and LLM solutions, ensuring high availability, scalability, and optimal latency.
Model Optimization: Perform model fine-tuning, quantization, and optimization of model serving performance (latency/throughput) and inference costs.
Candidates should possess foundational knowledge in Computer Science and Software Development, including Artificial Intelligence, algorithms, data structures, and version control.
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