• 與客戶網路營運部門協作,負責部署、維護、管理及日常營運工作 • 診斷並排除 AppLogic Network 設備或系統異常 • 提出系統設定變更建議並協助執行 • 為 AppLogic Network 所有設備與解決方案進行軟體維護與更新 • 主動監控系統健康度、KPI、日誌及警示,於異常發生時即時處理 • 遵守客戶變更管理與維護時段(maintenance window)作業流程 • 使用分析工具(如流量分析器、模擬器、流量檢測器、MRTG、PRTG、SNMP 輪詢、系統紀錄等)進行流量監控與問題排除 • 主導跨部門分析與技術討論,以預防問題重現 • 依需求提交與升級案件至二線(L2)支援團隊 • 負責案件管理與追蹤,確保問題妥善解決並提升客戶滿意度 • 提供顧問式支援與指導資淺同仁 • 積極參與品質審查及團隊持續改進

Role Description Are you ready to make a real impact on the UK's electricity infrastructure? LSTC Group, a leading specialist within the SOCOTEC Group, is looking for a passionate HV Cable Design Engineer to join our growing team and help shape the energy networks of tomorrow! As an HV Cable Design Engineer, you'll be at the heart of exciting transmission voltage projects, delivering innovative underground cable system designs that power communities across the UK. Your day-to-day will include: - Designing cutting-edge HV cable systems – Undertake design, studies, and calculations to BSEN/IEC/National Grid/DNO/ENA standards - Delivering technical excellence – Prepare cable sizing assessments, earthing studies, and interface analyses - Shaping the route – Contribute to cable routing feasibility and detailed design studies, balancing technical brilliance with real-world planning needs - Creating project documentation – Produce design concepts, specifications, and technical documents that set the standard - Collaborating with clients – Engage directly with clients to understand their vision and deliver solutions that exceed expectations - Getting hands-on – Attend site inspections and bring design expertise to the field - Working across disciplines – Partner with cross-functional teams to integrate your HV cable designs into transformative projects - Championing quality and safety – Ensure all documentation meets rigorous QA, environmental, and safety standards Qualifications - Essential: - Degree in Electrical Engineering (or equivalent qualification/experience) - Technical expertise in transmission voltage underground cable systems or transferable experience - Proficiency in CYMCAP or similar design software - Outstanding communication skills and the ability to juggle priorities - Knowledge of CDM & ESQCR legislation - A proactive, problem-solving mindset - Desirable: - Experience with AutoCAD/MicroStation - Understanding of multi-discipline projects and design interface management Benefits - People-first culture built on trust, integrity, and collaboration - Inclusivity and sustainability at the heart of everything - Comprehensive health support through an Employee Assistance Programme, GP24 access, and a Private Health plan - Flexible working arrangements - Meaningful work that makes a real difference to communities - Opportunities to collaborate across multiple disciplines within extensive in-house capabilities - Culture that fosters innovation and professional growth

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Required Skills Technical Skills - Process engineering & troubleshooting using AI - Data analysis (Excel, dashboards, MES/SAP) - Lean / Six Sigma / continuous improvement methods - Manufacturing process control and optimization Soft Skills - Problem-solving and analytical thinking - Strong communication and coordination - Leadership and team management - Attention to detail and decision-making ability Qualifications - Bachelor's / Master's degree in Engineering - Experience in manufacturing/semiconductor industry - Strong knowledge of production systems and quality standards KPIs / Success Metrics - Production target achievement - Yield improvement - Cycle time reduction (CTx) - On-time delivery (OTD) - Downtime and defect reductio 1. Manufacturing Operations - Monitor line performance, lot movement, and WIP status - Ensure achievement of daily/shift production targets - Maintain process stability across manufacturing areas 2. Issue Resolution & Escalation - Identify and analyze process, equipment, and material issues - Drive root cause analysis and implement corrective actions - Escalate critical risks impacting production output 3. Process Optimization & Continuous Improvement - Improve yield, cycle time, downtime, and productivity - Conduct time & motion studies for efficiency improvements - Drive automation and dashboard-based monitoring 4. Production Target Achievement (4M Management) - Achieve output targets using effective utilization of Man, Machine, Material, Method (4M) - Ensure adherence to process queue time and BOM efficiency 5. Quality & Compliance - Ensure adherence to SOPs, OCAP, QMS, and safety guidelines - Maintain audit-ready documentation and process traceability - Ensure compliance with regulatory standards 6. Cross-Functional Coordination - Work with Production, Equipment, Quality, Planning, and IT teams - Support smooth execution of manufacturing operations - Drive resolution of cross-functional issues - 7. Data Monitoring & Reporting - Track KPIs: Output, yield, downtime, WIP - Ensure data accuracy and support data-driven decisions - Develop reports and dashboards for visibility 8. Team Leadership & Capability Building - Mentor engineers, technicians, and operators - Drive training, certification (ATMES), and skill development - Ensure accountability and ownership on shopfloor 9. Project Management - Manage improvement projects from start to completion - Ensure adherence to timelines, scope, and budget - Support new product/process introduction (NPI) Key Deliverables - Achievement of production targets (shift/weekly/monthly) - Improved yield, cycle time, and throughput - Stable manufacturing process with minimal downtime - Audit-ready documentation and compliance - Skilled and trained workforce on shopfloor About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Role Description Join the Platform R&D Group, where we leverage data to drive real impact in the maritime world. Our core mission is to become the intelligence authority of the oceans - mission-grade maritime AI that brings action-ready clarity across the global seas. We are scaling our operations, rapidly advancing our AI efforts, models, and the complex problems we are solving. For that, we are building robust infrastructure that will enable us to push more models to production, in a faster manner and with our eyes wide open on how our models perform. You will be part of a research team, directly impacting the fundamentals of our data research, supporting the creation and improvement of our core-data algorithms. As part of your role, you will be the driving force to scale our AI capabilities. You will own the infrastructure and processes that support the full lifecycle of AI models - from research through production and performance monitoring. - Lead and drive the deployment, lifecycle management, and monitoring of ML/DL models in all stages leading to production. - Design and implement systems for Dataset and Label Management, including versioning and integrating customer feedback into labeling workflows. - Establish and maintain a robust Model Repository/Registry that supports versioning, local inference, and model lineage. - Lead the implementation of advanced Experiment Tracking and Monitoring solutions for both Data Science and Generative AI, focusing on evaluation, data drift detection, and model reproducibility. - Own model serving and inference systems—including autoscaling, A/B testing, canary rollouts, and latency/cost optimization for production models. - Enable specialized infrastructure for Generative AI capabilities, including tagging tools, prompt management, and LLM testing services. - Drive operational excellence by improving tool deployment usability and implementing granular cost visibility across projects and environments. - Develop reusable components such as standardized data loaders, CI/CD pipelines, and automated workflows for tasks like model retraining. - Collaborate directly with Data Scientists and the rest of the Data Platform Engineering team to productionize ML/DL models developed for cloud environments. Qualifications - B.Sc. or M.Sc. in Computer Science or Software Engineering or related field - Experienced with ML/DL workflows and their best practices - Experienced with CI/CD workflows and their best practices - Worked with public cloud (AWS/Azure/GCP) - Experienced with Python and Java - Experience with various data stores like Postgres, MongoDB, Redis - Experience with DS tools such as MLFlow, Langfuse, SageMaker, etc. - Experience with Spark - Experience with PyTorch/TensorFlow Benefits - Flexible work arrangements. - 15 working days per year as Non-Operational Allowance for personal recreation, fully compensated. - Health insurance. - Public holidays. - Truly competitive salary. - Supportive HR and management team.