Technology Specialists - Machine Learning (ML)

Key Skills

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

Job Description

As a Technology Specialist specializing in 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:

• Proven experience in technical pre-sales or technical consulting experience

OR Bachelor's Degree in Computer Science, Information Technology, or related field AND technical pre-sales or technical consulting experience

OR Master's Degree in Computer Science, Information Technology, or related field AND technical pre-sales or technical consulting experience

OR equivalent experience.

• AI Experience: Experience & knowledge of AI (Machine Learning, Deep Learning) solution positioning experience in enterprise public cloud-based solutions. Technical expert on Azure ML or equivalent compete experience.
• Solution Positioning Experience: experience with managing implementation lifecycle for delivery technology solutions. Work experience should involve presales support, risk management, technical consulting, solution design, project envisioning, planning, development, deployment, and management. Qualified Data Scientist or ML Engineer with proven customer facing consultative skills.

 Additional or Preferred Qualifications:

• Experience with AI Models, Large Language Models (LLM), and AI specialized infrastructure especially as it relates to AI trends and issues within businesses. This includes: Open-source models, Hugging Face Hub Community collection and fine-tuning Azure OpenAI Service models.
• Experience with Responsible AI, in practice or theory.
• Familiarity with core machine learning concepts, including infrastructure and open-source options (ex: compute systems - GPU & FPGA, AI/ML frameworks – TensorFlow, MLflow, JAX & PyTorch, tools - Jupyter notebooks & VS Code, etc.)
• Certifications with Azure Data, Azure AI or equivalent industry certifications