Ai / Ml - Global Black Belt

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.

Microsoft envisions a world where passionate innovators come to collaborate, envisioning what can be and taking their careers places they simply couldn’t anywhere else. This is a world of more possibilities, more innovation, more openness, and sky’s-the-limit thinking - a cloud-enabled world.

**Responsibilities**:
We are calling for a seasoned AI specialist to join our Global Black Belt team to help us accelerate market adoption of AI with strategic customer projects. As the Specialist on the Global Black Belt team, you will be joining a team of highly skilled experts across the company who are driving the most strategic and innovative customer projects. This role is a senior individual contributor within an Asia wide global team focused on driving customer digital transformation scenarios with the Azure AI platform (inclusive of strategic AI partner solutions).

The AI/ML Solutions Specialist will accelerate and scale Microsoft’s share of the AI market with Azure AI solutions driving cloud consumption. You will partner closely with our country solution sellers, and key partner stakeholders to accelerate AI engagements with our customers.

Being part of the AI Global Black Belt team, you will maintain and develop deep professional, sales and industry thought leadership in AI. You will have opportunities to showcase your expertise at various Microsoft and Industry conferences and work directly with our product engineering teams to influence the evolution of our AI technologies.

As the AI/ML Solutions Specialist on the Global Black Belt team, you will be responsible for:

- Win new AI/ML engagements via solution expertise proving technical & business value via workshops (1:1, 1:many) that drive minimum viable product (MVP) for business & technical decision makers showcasing Machine Learning and Cognitive AI capability
- Scale technical leadership across country stakeholders by being the mentor and coach for AI-led Solutions and ML Platform Services
- Finally champion the voice of customer with engineering to shape and influence Azure AI Services roadmap.

**Qualifications**:
**Solutioning Skills**
- Solution Expert: Deep understanding of unique solution area value, key areas of differentiation, and knowledge to create industry-centric use cases for AI/ML.
- Audience Credibility: Has credibility with key decision makers within our customers. Ability to influence target decision makers such as Business Decision Makers, Operational Technology Leaders, Data Scientist etc.
- Purposeful Planner and Orchestrator: Builds a purposeful AI growth plan with a bold ambition to identify and capitalize on transformational shifts in the market, and leads plan orchestration and execution across a v-team through influence.
- Excellent Communicator and Collaborator: Strong relationship building, negotiation, organizational, presentation, written, and verbal communication skills. Ability to effectively collaborate across teams and drive meaningful outcomes with corporate, field, partner and customer stakeholders.
- Solution Envisioning: well versed with facilitating envisioning and Design-led thinking methods to help formulate with customers and vision for the future that can be enabled by ML/AI.
- Skill Enablement: A passion for and demonstrated capability of scaling own knowledge with others and building organizational capability in a targeted solution area.
**Technical breadth and depth**
- Strong understanding of analytics and data science processes within organizations and functional stakeholders (ex: data scientists, data engineers, and associated interaction patterns)
- Strong understanding of a typical development lifecycle and associated operations (Dev Ops, ML Ops) for sustainable enterprise tier installations of cloud architecture
- knowledge in machine learning and data mining techniques and algorithms, specializing in one or more of the following areas: predictive modeling, time series analysis/forecasting, text mining/natural language processing, constraint optimization, computer vision, and information retrieval.
- Common understanding of industry or functional scenarios that include machine learning (ex: predictive maintenance, recommendation engines, demand forecasting, knowledge mining, etc.)
- Familiarity with core machine learning tooling/frameworks (ex: compute systems - GPU & FPGA, frameworks - TensorFlow & pyTorch, tools - jupyter notebooks & VS Code, etc.)
**Business Acumen**
- Experience with positioning AI value proposition for a specific Industry or cross-industry scenarios
- Make business recommendations (c