דרושים Senior Materials Handling Technician - Onsite ב-Microsoft ב-Taiwan, Taoyuan City

Your focus will be to lead the

• Bachelor’s degree in Computer Science, Engineering or related field or equivalent work experience
• Substantial experience in Change Management and Adoption.
• Deep understanding of Microsoft 365, Azure AI, and Copilot technologies.
• Strong communication and stakeholder management skills, with the ability to influence at all levels.
• Passion for innovation, customer success and continuous learning.
• Fluent in English; Dutch or French is a plus.

Some of your responsibilities include:

• Be a trusted advisor and drive business value through AI Transformation : Create business value by translating customer challenges into actionable solutions aligned to high ROI customer outcomes. Ensure a seamless, connected experience that fosters satisfaction, loyalty, and long-term value.
• Lead Adoption Strategy : Design and execute tailored adoption and change management plans that align with customer business objectives and Microsoft’s AI vision.
• Drive Organizational Change : Guide customers through the cultural and operational shifts required to embed Copilot into daily workflows.
• Champion Business Value : Translate technical capabilities into measurable business outcomes, using ROI models, usage analytics and success metrics.
• Enable Stakeholders : Engage executive sponsors, change agents and champions to build momentum and sustain adoption across departments.
• Deliver Readiness & Training : Facilitate workshops, onboarding sessions, and enablement programs to upskill users and ensure Copilot readiness.
• Collaborate Across Teams : Partner with sales, engineering, and partners to ensure seamless delivery and customer success.
• Contribute to IP & Scale : Help build reusable assets, playbooks, and best practices to scale adoption efforts across regions.
• Embrace a growth mindset: Act as the voice of the customer by proactively sharing insights, feedback and success stories to inform internal strategy and execution.
• Learn-it-all:

The candidate will leverage external and internal data to identify talent pools, assess market feasibility, and uncover competitive trends. You will design and implement sourcing strategies that go beyond traditional methods—using intelligence to anticipate and track talent movement, research competitors and industry trends, and optimize our location strategies.

Required/minimum qualifications

• Bachelor's Degree AND 6+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR equivalent experience.
• 4+ years of talent and market intelligence experience

Additional or preferred qualifications

• Bachelor's Degree AND 12+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR Master's Degree AND 8+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR equivalent experience.
• 4+ years of market research to map and track talent, key competitors, and industry trends.
• 4+ years of documenting and delivering actionable insights of market research to formulate a differential sourcing strategy.

? The Business and Industry Solutions (BIS) team is looking for a Senior Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems. In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency.lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making.collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible—empowering customers and partners to build on our platform. This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale.

in natural language processing (NLP), witha strong foundationin large language model (LLM) development, evaluation, and fine-tuning. They should have hands-on experience in applying advanced fine-tuning techniques—including instruction tuning, reinforcement learning from human feedback (RLHF), and tool-augmented generation—to build agents capable of multi-step reasoning and decision-making. Familiarity with prompt/context engineering, context-aware orchestration, and integrating LLMs with external tools and APIs is essential. The candidate should be comfortable working in a fast-paced, experimentation-driven environment,both offline and online evaluation methods to iterate rapidly andagent behavior. A deep understanding of the challenges and opportunities in building AI-native enterprise applications will be key to success in this role.

Qualifications

• Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

• OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.
• 1+ years of experience withgenerativeAIOR LLM/ML

Preferred Qualifications:

• Experience withMLOpsWorkflows, including CI/CD, monitoring, and retraining pipelines

• Familiarity with modernLLMOpsframeworks (e.g.,LangChain,PromptFlow

• 3+ years of experience publishing in peer-reviewed venues or filing patents.

• Experience presenting at conferences or industry events

• 3+ years of experience conducting research in academic or industry settings
• 1+ year of experience developing and deploying live production systems

• 1+ years of experience working with Generative AI models and ML stacks
• Experience across the product lifecycle from ideation to shipping

and/or government security screening requirementsfor this role. These requirements include but are not limited to the following specialized security screenings:

• requiredto pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

• by executing high‑leverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes.

• Lead the design and implementationof advanced model fine‑tuning pipelines, including Reinforcement Learning from Human Feedback (RLHF), to align AI system behavior with user intent and improve performance in real‑world scenarios.

• Own complex, end‑to‑end projectsthat combine technical depth with cross‑functional collaboration, influencing feature direction and prioritization rather than broad organizational investment decisions.

• Foster alignment and trustacross partner teams through clear, actionable communication and collaborative problem‑solving.

• Develop and maintainrobust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise‑scale environments.

• Mentor and supportpeers by sharing best practices, reviewing designs, and contributing to a collaborative, high‑performance team culture.

• Leverage AI tostreamline workflows and enhance team productivity through intelligent automation and innovation.

As an SAP Solution Engineer, you will work closely with a dedicated salesperson from the Strategic Partnership team to sell SAP Azure in western Europe. This is a technical pre-sales role, responsible for all technical pre-sales activities, including running workshops, leading technology presentations as well as assisting our customers in becoming frontier, taking advantage of the possibilities of CoPilot and Agentic AI with SAP on Azure. This opportunity will allow you to interact with senior stakeholders, decision makers and the technical staff of our customers. You will have opportunities to accelerate your career growth, develop deep business acumen, hone your selling skills, and become adept at evangelizing why Microsoft Cloud, its cloud services and capabilities are ideal for innovation.

This is a flexible working opportunity and working from home is possible when not visiting customers. International travel maybe be required.

Required Qualifications

• Several years of technical pre-sales or technical consulting experience.
• Several years of extensive experience with SAP infrastructure-related technologies, paired with asolid understanding of the SAP ecosystem and how to bring them to life with Azure or competing clouds.
• Comprehensive understanding of cloud platform technologies, especially AI, Agentic and CoPilot technologies.
• Multi-lingual speaking skills, especially French (B2+) and English (C1+).

Additional Qualifications

• Computer Science, Information Technology or related 4 year degree
• Proficiency in understanding the core business processes associated with companies running SAP, especially those in the manufacturing, pharma, energy and retail/consumer products industries
• Proven experience engaging with senior level executives.
• Superior communication and presentation skills and the ability to influence for impact and stakeholder collaboration.
  

• Proactively identify and engage with key customer decision makers and influencers, while leading the technical sales strategy, including positioning the advantages of the Microsoft platform, from security to AI for SAP RISE and SAP in Azure customers.
• Use your broad, in-depth knowledge and leadership skills to build credibility and trust with our customers
• Leverage your skills and experiences to take ownership of resolving all technology aspects of a complex customer engagement
• Foster a deep relationship with SAP and the SAP Community, to keep aligned with SAP strategies and SAP customer trends
• Engage the Microsoft global system integration partner ecosystem in a sell-with motion
• Generate new go-to-market strategies and patterns and share them with the global and area community.

• Bachelor's Degree in Computer Science or Information Technology.
• Technical experience in network design, development, and automation.
• Proven experience in TCP/IP BGP, MPLS.
• Experience working with Python/Go/Rust.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Technical experience in network design, development, and automation
  • or related field.
  • OR Master's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND technical experience in network design, development, and automation
  • OR Doctorate Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field.
• Network engineering experience in a cloud provider, internet service provider, or large enterprise environment.
• Professional software development experience in the networking domain, including proficiency in C#, Python, Go, REST, YAML, and workflow systems.

• Offers modification and improvements to network technologies based on existing and emerging industry knowledge to contribute to the design, implementation, and operation of reliable, scalable, and high-performance networks.
• Works in collaboration with teams across a single organization to develop reliable, scalable, and high-performance, network designs; independently produces design documents and implementation plans.
• Partners with Engineering and Program Management teams to understand customer, business, and technical requirements to propose network designs or modifications to architecture;participatesin architecture reviews to ensure designs and modifications meet all functional, performance, scale, and compliance requirements.
• Influencestelemetry analytics designs to betteridentifypatterns that reveal errors and unexpected problems;leveragesan understanding of network architectures and infrastructure at scale to develop, measure, track, and improve the quality of telemetry pipelines that support automated monitoring and incident response.
• Develops process or technology solutionsthat proactivelyresolve issues with processes, physical network devices, and/or tooling.
• Makes optimaluse of infrastructure and resources through simple designs and byleveraging

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.

• Bachelor's Degree in related field AND 8+ years' experience in project management

• OR equivalent experience.

• Project Management Professional (PMP) certification.

• 4+ years financial management experience.

• Agile certification, Scrum Master, Agile Certified Practitioner (PMI-ACP), or Professional Scrum Master One (PSM1) certification.

• Drives and maintains obligations to customer across the delivery lifecycle including envisioning, solution development, delivery planning, cloud consumption and usage, delivery management. Leads or participates in steering committee meetings with strategic customers to discuss progress toward delivery success.

• Contributes to consumption activities, through others (e.g., Customer Success resources), for customers by identifying blockers to consumption goals and enabling customers, through internal teams, to get the full value of their purchases. Holds accountability for project delivery forecast.

• Collaborates with Sales to support contract setup, signature, compliance, and execution from deal approvals to invoicing and closure. Manages areas of fiscal responsibility within project portfolio, staying within budget while driving engagement profitability and risk management.

• Supports relationships with key stakeholders in the customer portfolio to ensure service delivery is on track and issues are being anticipated, identified, and managed. Communicates current view of delivery to customer stakeholders, as appropriate.

• Engages with customer stakeholders to develop partnerships, leveraging broad technical expertise. Manages escalations or ensures resolution of escalations with customer stakeholders through tailored corrective action (e.g., education) and overcomes ambiguous situations as needed. Learns to leverage project sponsors and internal network to influence stakeholders and resolve situations.

• Drives customer satisfaction by engaging with customers stakeholders in a positive manner, reviewing and analyzing customer feedback, and leveraging trusted relationships with key internal resources to act as the voice of the customer. Manages expectations with political sensitivity by leading Success Expectation discussions with customer, and documenting, executing, and monitoring through customer and partner experience (CPE).

• Adheres to project compliance standards (e.g., confidentiality, privacy) and requirements of the contract and accommodates customer compliance standards, including managing compliance-related complexities (e.g., high sensitivity to confidentiality). Champions compliance by contributing to knowledge sharing across teams to build compliance capability of others.

• Orchestrates and oversees a broad range of project metrics on midsize to large projects with high visibility (e.g., Vice President-level). Proactively ensures adherence to key performance indicators (KPIs) and provides strategic direction to drive success throughout project lifecycle.

• Proactively manages risks and issues within projects of standard complexity, leveraging technical knowledge and previous experience to evaluate risks, perform qualitative analyses (e.g., probability, impact, urgency), create risk management plans, establish processes, and work with cross-functional groups and leaders to mitigate identified risks. Contributes to recovery efforts and ensures tools are updated. Manages issue closure as a high priority.

• Ensures timely completion and quality of deliverables (e.g., documents) and tracking of agreed upon metrics for projects of standard complexity by applying quality management techniques (e.g., benchmarking, interviews) for collecting data. Uses analyses to identify solutions to systemic issues.

• Discusses and confirms Microsoft change control processes at kickoff with customer. Anticipates changes and proactively addresses by probing to ensure change can happen smoothly early in the process. Tests process before initiating formal change.

• Manages finances for projects with mid-size to large scopes and budgets by balancing funding and resources across workstreams, performing analyses, and leveraging cost management experience and expertise. Aims to reduce cost and improve delivery margin without impact to quality or customer experience and understands impact of decisions on the broader business (e.g., profits and losses [P&L], accrual-based accounting).

• Manages stakeholder communications on project health, issues, and financial performance for mid-size to large deals throughout entire project lifecycle, tailoring communications to the audience. Tracks and maintains customer deliverables.

• Demonstrates accountability for the financial health of a project or program (e.g., revenue attainment, accurate forecasting, cost management, and utilization, skills, and capacity planning). Identifies opportunities to accelerate and drive consumption and delivery. Owns and drives backlog risk management. Drives incremental business on top of existing projects and programs through next step proposals, conducts customer discussions related to next stage proposal (NSP) and other opportunities. Engages in the pursuit cycle to ensure deals are structured appropriately. Supports and contributes to rhythm of business (ROB) and Chief Financial Officer (CFO) forecasting.

• Looks for or creates opportunities to maximize timely cloud consumption through current deliveries. Identifies new opportunities with customers and facilitates follow up conversations with customers on Consumption both strategically and operational, and to accelerate delivery or prevent delivery delays.