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Machine Learning Lead - Azure Infrastructure Workload
 Microsoft | |
 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Oct 27, 2024 | |
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Overview 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. Our mission is to empower every person and every organization on the planet to achieve more. We have a unique capability to harmonize the needs of both individuals and organizations. We care deeply about taking our ideals and vision globally and making a difference in lives and organizations in all corners of the planet. Please click here to learn more about Microsofts culture and vision. Check out all our products at:http://www.microsoft.com/en-us
Responsibilities We are looking for a Machine Learning Lead - Azure Infrastructure Workload 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 individuals across the company who are driving the most strategic and innovative customer projects. This role is a senior sales lead within our enterprise sales organization focused on driving customer digital transformation scenarios with the Azure AI platform (inclusive of strategic AI partner solutions). The Machine Learning Lead - Azure Infrastructure Workload will accelerate and scale Microsoft's share of the AI market with Azure AI solutions driving cloud consumption. You will partner closely with our mainstream 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 Machine Learning Lead - Azure Infrastructure Workload on the Global Black Belt team, you will be responsible for:Win new AI/ML engagements via technical sales 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, Cognitive Services and Knowledge Mining capability (60% of your time).Accelerate Azure consumption in targeted accounts landing AI/ML engagements by demonstrating technical value of the solution architecture, including best practices for industry application and specialized co-sell solutions that accelerate time to market and customer's digital transformation. (20% of your time).Represent the Infra/ML business to leadershipDefine strategy to grow and accelerate Infra/ML PIllarScale technical leadership across mainstream sellers by being the engineering conduit who: champions voice of customer, partner and field to engineering; and prioritizes strategic engineering engagements across customers. (20% of your time).Solution SkillsUnderstanding of analytics and data science processes within organizations and functional stakeholders (ex: data scientists, data engineers, and associated interaction patterns).Understanding of a typical development lifecycle and associated operations (Dev Ops, ML Ops) for sustainable enterprise tier installations of cloud architecture.Familiarity with core machine learning concepts (ex: compute systems - GPU & FPGA, frameworks - TensorFlow & pyTorch, tools - jupyter notebooks & VS Code, etc.).Common understanding of industry or functional scenarios that include machine learning (ex: predictive maintenance, recommendation engines, demand forecasting, knowledge mining, etc.).Sales SkillsSales Leader:Disciplined in business-management, meeting sales targets and operational standards. Mentors other sellers towards a "challenger mentality" by prompting them to engage the customer early with new insights. Demonstrated experience influencing senior stakeholders within customer and own organization.Solution Expertise:Deep understanding of unique solution area value, key areas of differentiation, and knowledge to create industry-centric use cases for the solution area.Business Value Seller:Proven record of effective account management, particularly demonstrating: coupling business acumen with technology knowledge, to connect customer business challenges to their technology decisions and; coaching the customer through business case creation, approval, and stakeholder buy-in.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. Social Seller:Builds an active business network that stretches and influences far beyond themselves, including leveraging social selling tools such as LinkedIn Sales Navigator.Excellent Communicator and Collaborator: 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. Technical Acumen:Experienced at driving solutions to full production roll out and solving technical challenges encountered through the project implementation. Synthesizer of tools, services and resources with own expertise to build complete end to end solutions.Skill Enablement:A passion for and demonstrated capability of scaling own knowledge with others and building organizational capability in a targeted solution area. | |