Microsoft Circular Center Data Inventory & Asset Technician Cc Diat jobs at Microsoft in Taiwan, Taoyuan City

As an(AM) focused on Microsoft Advertising, you will enable Microsoft to better serve clients by applying your obsession to what clients care about and need, ensuring our story is valued and understood, and building and maintaining solid trusted-advisor relationships with day-to-day practitioner contacts at advertiser/agency. You will drive both revenue and client satisfaction across MSA’s performance solutions and as a core member of the account team, this opportunity will allow you to focus on driving data-driven optimizations aligned with client needs, executing campaigns and driving solid coordination or internal resources for excellence in execution of core tasks, account transitions, and client account health.

Required Qualifications:

• Master of Business Administration (MBA) Degree in Sales, Marketing, or related field and 2+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR Bachelor's Degree in Sales, Marketing, or related field and 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR 6+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) or equivalent experience.
• 1+ year of experience managing hands-on search advertising campaigns and other performance-based digital marketing campaigns.

Preferred Qualifications:

• Master of Business Administration (MBA) Degree in Sales, Marketing, or related field and 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR Bachelor's Degree in Sales, Marketing, or related field AND 5+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR 8+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR equivalent experience.
  
• 2+ years of experience managing hands-on search advertising campaigns and other performance-based digital marketing campaigns.
  
• 2+ years of experience in online media or Search Engine Marketing Sales and Service experience.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 19, 2025.

• Proactively solicits feedback on additional advertising needs, products, and features and ensures the feedback reaches the right stakeholders internally through relevant channels to gain a further understanding of market needs and client expectations and to drive solutions on behalf of the clients.
• Builds and maintains a solid network of internal and external partner resources to drive opportunities and influence impact for clients. Collaborates with partners to develop and share client plans that support Microsoft business and client needs.
• Establishes oneself as the primary point of contact to address day-to-day inquiries. Engages clients in a proactive manner to address day-to-day questions related to account monitoring (e.g., what to prioritize, managing escalations, billing, compliance requirements, flags, or reactions), managing client needs, and addressing issues.
• Builds and maintains relationships with day-to-day client contacts as a trusted advisor throughout multiple levels.
• Seeks client feedback (both formal and informal) to identify and understand the drivers of satisfaction and understand the drivers of dissatisfaction, determine the root cause of problems, and remove blockers. Establishes recovery action plans to improve the client's overall experience and avoid future instances of dissatisfaction.
• Articulates Microsoft's strategy and other products and services, and educates clients on the Microsoft Advertising platform. Shares knowledge of the search landscape with clients to create a mutually-beneficial business value proposition and executes relevant solutions.
• Adopts Microsoft sales strategies (e.g., Challenger Sale) and handles main objections from clients. Works to overcome obstacles, sell tailored solutions, and secure buy-in and execution.
• Leverages Customer Relationship Management (CRM) tools (e.g., account management, opportunities, tracking, and reporting), other tools (e.g., customized performance dashboards, data, insights), and ad hoc opportunities to identify ways to keep up with account health, increase performance, satisfaction, and upsell opportunities to increase revenue.
• Collaborates with internal partners and peers to develop and implement strategies to identify and maximize upselling opportunities through value-proposition presentations and/or to help Account Executives accelerate the closing of deals.
• Proactively researches information about clients' advertising needs (e.g., advertising key performance indicators [KPIs]) to learn more about their competition and market trends. Identifies opportunities to drive optimizations and new solutions based on clients' advertising strategies.
• Presents tailored solutions based on clients' insights.
• Maintains knowledge of emerging industry trends beyond a singular product as well as of technology and key performance indicators (KPIs).
• Leverages competitive trends and shares knowledge with others as a subject matter expert.
• Embody and promote Microsoft’s and .

At , we believe machine learning and artificial intelligence has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society including sustainable materials and discovery of new drugs.

Required:

• PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Computational Biology, or related field.
• Strong software engineering in Python (packaging, testing, CI), with systems thinking for data‑intensive ML.
• Deep learning experience (PyTorch/JAX/TensorFlow) and solid foundations in linear algebra, probability, and statistics.
• Proven experience designing robust data pipelines for large‑scale ML (HPC or cloud).
• Ability to reason about learning signal and to assess information content of real‑world scientific datasets.
• Excellent collaboration and communication in interdisciplinary teams.

Preferred:

• Hands‑on cryo‑EM experience (e.g., map reconstruction, refinement, or pipeline tooling).
• CUDA or C++ for performance‑critical components; experience with mixed precision and memory‑efficient training.
• Experience integrating experimental data into ML models (e.g., constraints/priors from cryo‑EM, binding assays, spectroscopy).
• Familiarity with MD data, structure prediction systems, or protein design work-flows.
• Experience with cost‑optimization for data collection and cloud utilization; clear track record of building reliable, maintainable research software at scale.
• Experience with structural biology or molecular biology data/techniques (e.g., cryo‑EM, binding assays, spectroscopy, expression, sequencing)

• Data integration for structure & dynamics: Build ingestion/curation pipelines for structural/biophysical data (mmCIF/PDB, EM maps/particles, binding/biophysics, spectroscopy); implement map/volume preprocessing (e.g., resolution filtering, normalization) and alignment to model inputs/outputs.
• Cryo‑EM expertise: Operationalize end‑to‑end flows from raw image stacks/particles to 3D maps and model‑ready tensors; interoperate with community formats (e.g., EMDB/EMPIAR, mmCIF) and link to sequences/annotations.
• Signal & information content: Design dataset diagnostics (e.g., mutual‑information‑like measures, effective sample size, SNR proxies) to quantify what data teach the model; build active‑learning loops that maximize learning per euro of data collection time.
• Model‑aware data services: Implement scalable, versioned data services and feature stores that feed training/evaluation; design loaders/augmentations optimized for throughput and correctness (GPU‑aware).
• Training‑at‑scale engineering: Own distributed data pipelines and orchestration for large runs on Azure; profile and tune I/O, storage tiers, data locality, and caching; monitor cost, utilization, and failure modes.
• Quality, governance, and reproducibility: Codify schemas/ontologies, metadata contracts, unit/integration tests, and lineage; automate validation and data drift detection; maintain documentation and examples.
• Partner across disciplines: Work closely with ML researchers, structural biologists, and drug designers; translate experimental constraints into robust computational workflows; communicate clearly and proactively.

As part of the Cloud + AI Data team, you’ll leverage existing Repeatable IP and execution engines with accountability to drive delivery excellence, accelerate adoption, and ensure a successful deployment for the customer for services such as Microsoft Fabric, Azure Databricks, OpenAI, Cosmos DB, Purview. You’ll collaborate with different teams across Microsoft, share best practices, and stay current with evolving trends to help customers unlock the full value of their data and AI investments.

Your Role and Impact:

• Strategic Guidance: Engage with customers & partners to understand their goals and challenges, then provide strategic solutions that maximize the value of their Microsoft technology investments.
• Technical Leadership: Lead in-depth technical discussions, offering insights and recommendations to overcome complex challenges in data and AI initiatives both On-premises (SQL Server) as well as in Azure.
• Empowering Customers & Partners: Support customers & Partners in achieving successful outcomes by developing tailored solutions that drive their digital transformation and innovation.
• Continuous Growth: Leverage this opportunity to advance your career while enhancing your knowledge and skills in cutting-edge cloud technologies.

Bachelor’s degree in computer science, Information Technology, Engineering, Business, or related field AND 12+ years’ experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting

OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting

OR equivalent experience

6+ years experience working in a customer-facing role (e.g., internal and/or external).

6+ years experience working on technical projects

• 5+ years of experience with SQL Server, SQL Server on Azure VMs, Azure SQL DB, and/or Azure SQL Managed Instance, Data Warehouses, Power BI.

• Experience in SQL Server at scale, on-premises to Azure migrations, complex SQL Server troubleshooting, performance tuning and optimization, scaling OLTP and OLAP workloads, and securing SQL Server on-premises or in Azure.

Technical Certifications in Cloud (e.g., Azure, Azure Data Platform, Power BI, Amazon Web Services, Google, security certifications).

Technical experience and knowledge in Enterprise-scale technical experience with On-premises, cloud and hybrid infrastructures, architecture designs, migrations, and technology management.

Other Key Requirements

• Chinese (Mandarin) language skill at highest proficiency level is a Must have skill. It will be great advantage if applicant knows Cantonese as well as Mandarin.
• Advanced written, spoken English level with direct customer facing experience.
• Note: Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.

• Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.
• Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Platform and Analytics Cloud solutions :
• SQL Server/Database and OSS database (PostgreSQL, MySQL etc)
• Azure Databases (Azure SQL, Azure Postgres SQL, Azure MySQL, Cosmos DB)
• Power BI
• Microsoft Fabric (Fabric DW, Real-Time Intelligence, OneLake, Data Integration, Data Engineering, Copilot, Data Science)
• Azure Databricks
• Microsoft Purview
• Azure AI Foundry
• Hyperscale
• Azure Data Factory
• Azure Machine Learning
• Azure Open AI
• Cognitive services
• NoSQL Databases including OSS (Cassandra, Mongo, and HBase etc)
• Big Data platform such as Synapse, Snowflake, Big Query, Redshift, Spark
• Advanced Analytics including Azure Synapse, Databricks, and visualization tools such as PowerBI, Tableau.
• Data Science and Data Engineering including machine learning framework such as PyTorch and scikit-learn.
• Streaming, IoT, Real-time analytics
• Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python
• The technical aptitude and experience to learn new technologies and understand relevant cloud trend
• Competitive Landscape: Knowledge of cloud development platforms
• Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs
• Expertise in AI like LLM Preferred

• You will develop relationships with key customer IT and business decision makers, to understand their data estate, priorities, and success measures, and design secure, scalable Data & AI solutions that deliver measurable business value.

• You will understand customers’ overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor.

• You will ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners.

• You will develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging subject matter expertise. Deliver according to MS best practices & using repeatable Intellectual Property (IP).

• You will apply technical knowledge to architect and design solutions that meet business and IT needs, create Data & Analytics roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where appropriate.

• You will maintain technical skills and knowledge, keep up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform.

• You will accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications. Proactively identify gaps through delivery and communicating those gaps to others (e.g., Leadership, managed intellectual property [MIP], Design, and Governance). Applies subject matter expertise to develop new IP that fills identified gaps

• Drive Azure consumption through accurate and complete Azure Consumption Plans and support Unified/Factory delivery models.

• Lead technical workshops, build MVPs, and guide customers through production deployments.
• Collaborate with internal teams to remove blockers and share customer feedback.
• Evangelize Azure technologies within customer, partner, and community ecosystems.

• Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the Customer Success Account Managers.

• Provide delivery oversight and escalation support for key consumption engagements across Data & Analytics workloads.

• Drive technical excellence by leading the health, resiliency, security, and optimization of mission-critical data workloads, ensuring readiness for production-scale AI use cases.

• You will identify resolutions to issues blocking go-live of migration and modernization projects by leveraging Azure Infrastructure technical subject matter expertise and lead technical conversations with customers to drive value from their Microsoft investments and deliver all work according to MS best practices and policies.

• You will demonstrate a self-learner mindset through continuous alignment of individual skilling to team/area demands and Customer Success goals as you accelerate customer outcomes and engage in relevant communities to share expertise, contribute to IP creation, prioritize IP reuse and learn from others to help accelerate your customers transformation journey.

• Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB.

Technical leadership

• Design the solution using your Data Platform technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs; drive proof of concepts (POCs)/production deployments to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to do POC with hands-on-skills.

• Data Platform technologies, including SQL Server, Azure SQL Database, and Azure Cosmos DB, as well as Analytics, Data Warehousing, and Data Engineering scenarios. Focus on Intelligent Data and Analytics Platforms such as Synapse, Lakehouse architecture, Fabric, Azure Databricks, and Power BI. Stay informed on market trends and competitive insights and actively collaborate and share knowledge within the Data & AI technical community.

• Experience in Azure architecture design, Azure IaaS, Azure SQL Database, Azure SQL Managed Instance, High Availability, service resilience and distributed systems.

• Experience as a Database Administrator, data platform design, SQL Server at scale, on-premises to Azure migrations, complex SQL Server troubleshooting, performance tuning and optimization, scaling OLTP and OLAP workloads, and securing SQL Server on-premises or in Azure

• Experience with High Availability/Disaster Recovery solutions such as Failover Clustering, Database Mirroring, Always-On Availability Groups, and Replication

• Use trace analysis, debug skills, source code, and other proprietary tools, to analyse problems and develop solutions to meet customer needs; this may involve writing code

• Consultative experience along with presentation skills with a high degree of comfort with both large and small audiences

• Learns to identify and communicate areas in intellectual property (IP) that need refreshing or have gaps. Contributes to IP development with guidance/supervision.

• Demonstrates strong industry knowledge and increases recognition for Microsoft solutions by contributing to and sometimes leading presentations and engagements with external and internal audiences (e.g., Tech Connect, Build, Ignite)

Required Qualifications:

• Proven years years technical pre-sales or technical consulting experience
• Expert in Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps OR Equivalent experience.
• Expert in Azure Analytics (Fabric, Azure Databricks, Purview) OR competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
• Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.

Preferred Qualifications:

• Degree in Computer Science, Information
• Several years technical pre-sales, technical consulting, or technology delivery, or related experience
• Proven years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
• Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.
• Proficiency in Danish is preferred.

• Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
• Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.
• Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
• Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
• Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
• Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
• Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums

You will be responsible for the design, development, and execution of an exciting research agenda in collaboration with other machine learning, engineers, clinicians, social scientists, and designers at Health Futures. To learn more about this opportunity, please visit:

Qualifications

• PhD in Machine Learning, Computer Science or related fields or equivalent experience.

Required

• Relevant years of experience working on a multidisciplinary team working on AI research for real world impact.
  
• Hands-on experience with large scale deep learning models and libraries (e.g., PyTorch, TensorFlow).
  
• Strong software development skills.

Preferred

• Publications at top conferences and journals such as: NeurIPS, ICML, ICLR, MICCAI, Nature, CVPR, ICCV, EMNLP, ACL.
  
• Experience with medical domains such as radiology, digital pathology, genetics, immunology.
  
• Machine learning expertise in multi-modal learning, large language models (e.g., alignment), reinforcement learning and/or domain adaptation and data-efficient learning.

The ideal candidate will have a strong intellectual curiosity and passion to solve real-world problems in healthcare and multi-modal AI The responsibilities will include:

• Advance multi-modal medical AI, empowering internal and external partners to build and deploy state of the art medical imaging AI to make clinical work-flows faster and safer and improve patient outcomes.
• Collaborate on design, implementation and evaluation of multi-modal machine learning solutions which consider key clinical factors and responsible AI.
• Support the strategic planning of the team by providing engineering and research leadership.
• Engage with external and internal collaborators to drive real world impact.

Required Qualifications

• Currently pursuing aPhD/ Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
• Must have at least three additional semesters of school remaining (graduation date 2027 or later)
• Solid background in machine learning, deep learning, language models and optimization.

Preferred Qualifications

• Currently pursuing a PhD inComputer Science, Engineering, Data Science, Mathematics, or related field.
• Proficiency in Python and experience with PyTorch, TensorFlow and ONNX.
• Research or hands-on experience in efficient model architecture and model compression techniques (quantization, pruning, distillation, etc.).
• Research or hands-on experience with language models (e.g., BERT, LLaMA, GPT).
• Publications in top-tier relevant ML venues (e.g., NeurIPS, ICML, ACL, or ICLR).
• Previous industry experience as a Data Scientist / Intern.
• Solid background in machine learning, deep learning, language models and optimization.
• Strong analytical thinking and independent research capabilities.
• Excellent communication, collaboration, and writing skills.

• Design, implement, and evaluate methods to enable efficient, secure and optimized deployment of AI models on edge or resource-constrained platforms.
• Drive innovation and practical research, iteratively improving solutions based on empirical results, working with large-scale textual datasets.
• Document research findings and contribute to publications, open-source projects, or patent filings as appropriate.
• Formulate approaches to solve problems using well defined algorithms and data sources
• Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
• Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.