Degree in Artificial intelligence- AI
Aartificial intelligence, Azure, CUDA/GPU programming, Data science techniques, Deep Learning, Design, HuggingFace, JAX framework, Jupyter Notebook, Large Language Models - LLMs, Machine learning techniques, Management, Optimization, PyTorch
As a Technology Specialist - Machine Learning (ML), you will be a technical solution expert within our worldwide Artificial Intelligence (AI) commercial solution area organization working with strategic customers on establishing their AI Strategy. Specifically, you will lead strategic technical customer engagements that will require you to deliver architectural design sessions, pilots for ML Platforms, Proof of concept (PoC) ML model development, developing custom foundational models, and advising on best-practices for Enterprise Machine Learning systems. You’ll create Generative AI-powered applications that are enhanced by the broader AI portfolio, with the goal of demonstrating the value of a business use case for your customers. You will collaborate with a virtual team of technical, partner and consulting resources to advance the decision process and increase the adoption of the Azure and AI services, specifically Machine Learning and AI Infrastructure, within your customer accounts. You will work within your team as a subject matter expert to help customers derive value through AI.
This role sits in our Global Black Belt (GBB) organization, which is a team of highly specialized and technical professionals within our Microsoft Customer & Partner Solutions organization (MCAPS) who work with customers to enable some of the most complex and innovative solutions, providing differentiated technical leadership and guidance along the way. The AI team within the GBB organization consists of Specialist and Technology experts, who focus on specific domains, industries, and workloads, such as Azure OpenAI Service, Azure AI Services, Application Development and Machine Learning.
This role will require travel to customer sites.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Qualifications
Required/Minimum Qualifications:
Additional or Preferred Qualifications:
Benefits/perks listed here may vary depending on the nature of your employment with Microsoft and the country where you work. US-based employees gain access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and fitness benefits, among others.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Responsibilities
Winning new AzureML engagements via solution expertise proving technical and business value via workshops (1:1, 1: many) that drive commitment for minimum viable product (MVP) for business and technical decision makers showcasing Machine Learning capability.
Work with the solution specialist team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Provide in-depth ML and Deep Learning expertise to support the technical relationship with Azure customers, including product and solution briefings, creating demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Azure Machine Learning and AI optimized infrastructure.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Azure AI. This includes end-to-end ML Flow processes leveraging AzureML.
Support developers, creators, and enterprises to leverage open source and in-house developed ML/Deep Learning models so they can build their own AI products in the future.
Be a trusted advisor to our top customers, helping them understand and incorporate AI/ML accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Azure AI optimized infrastructure.
Demonstrate how Azure Machine Learning is differentiated, highlighting the power of accelerators by working with customers on POCs, demonstrating features, optimizing model performance, profiling, and benchmarking.
Identify and assess large scale ML and Deep Learning opportunities that would benefit from AI optimized infrastructure. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance.
Microsoft Corporation is an American multinational technology company with headquarters in Redmond, Washington. It develops, manufactures, licenses, supports, and sells computer software, consumer electronics, personal computers, and related services. It is one of the Big Five American information technology companies, alongside Google, Amazon, Apple, and Meta.
Cambridge, Cambridgeshire, United Kingdom
2-4 year
Cambridge, Cambridgeshire, United Kingdom
2-4 year
Cambridge, UK
2-4 year
Cambridgeshire, UK
2-4 year
Herzliya, Tel Aviv, Israel
2-4 year
Mumbai, Maharashtra, India
0-2 year
San Jos? Province, San Jos?, Costa Rica
2-4 year
Bangalore, Karnataka, India
2-4 year
Taipei, Taiwan
2-4 year
Redmond, WA, USA
0-2 year
Redmond, WA, USA
2-4 year
Redmond, WA, USA
0-2 year
Bellevue, WA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
2-4 year
New England, USA
2-4 year
Redmond, WA, USA
2-4 year
Redmond, WA, USA
0-2 year
Redmond, WA, USA
0-2 year
Redmond, WA, USA
2-4 year
Sunnyvale, CA, USA
0-2 year
New York, NY, USA
0-2 year
San Francisco, CA, USA
0-2 year
Cambridge, UK
0-2 year
San Francisco, CA, USA
4-6 year
Cambridge, UK
2-4 year
Redmond, WA, USA
0-2 year
Dubai - United Arab Emirates
8-10 year
Abu Dhabi - United Arab Emirates
8-10 year
Johannesburg, Gauteng, South Africa
8-10 year
Dubai - United Arab Emirates
8-10 year
Vancouver, BC, Canada
0-2 year
Vancouver, BC, Canada
2-4 year
Redmond, WA, USA
0-2 year
Redmond, WA, USA
0-2 year
Redmond, WA, USA
0-2 year
Redmond, WA, USA
0-2 year
Cambridge, UK
2-4 year
Johannesburg, Gauteng, South Africa
2-4 year
Vancouver, BC, Canada
6-8 year
Herzliya, Tel Aviv, Israel
2-4 year
Vancouver, BC, Canada
6-8 year
Redmond, WA, USA
0-2 year
Adelaide SA, Australia; Brisbane QLD, Australia; Canberra ACT, Australia; Melbourne VIC, Australia; Sydney NSW, Australia
4-6 year
Munich, Germany; Stuttgart, Germany; Frankfurt, Germany; Walldorf, Germany; Hamburg, Germany; Cologne, Germany; Berlin, Germany
0-2 year
Atlanta, GA, USA; Phoenix, AZ, USA; Redmond, WA, USA; San Antonio, TX, USA
2-4 year
Austin, TX, USA; Dallas, TX, USA; Houston, TX, USA; Chicago, IL, USA; Boston, MA, USA; New York, NY, USA; San Francisco, CA, USA; Redmond, WA, USA
10-12 year
Tel Aviv, Israel; Nazareth, Northern, Israel; Haifa, Israel
4-6 year
Austin, TX, USA; Chicago, IL, USA; Dallas, TX, USA; Fort Worth, TX, USA; Houston, TX, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Philadelphia, PA, USA; Phoenix, AZ, USA; San Antonio, TX, USA; San Diego, CA, USA; San Francisco, CA, USA; San Jose, CA, USA; Sunnyvale, CA, USA
0-2 year