Customer Technology Architect- Data and AI

Customer Technology Architect- Data and AI  

• We are seeking a highly motivated and passionate customer advocate with expertise in AI and machine learning technology. This is a customer-facing, hands-on technical role that spans design, build, and operate, with a focus on solving customer problems and removing technical blockers or adoption challenges in AI.
• As the AI Customer Advocate, you will be responsible for technical customer engagements and will work on the most challenging and exciting projects. You will work with select customers to solve their business problems using AI/ML, which may involve reusing existing models, refining/customizing models, or building new models.
• Our team is diverse, inclusive, and mission driven. We encourage a growth mindset and prioritize innovation in our work

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.

Basic Qualifications:

• BS or MS degree in STEM.
• 8+ years as a technical solution architect or technical consultant, with some experience with ML or Data expertise
• Experience in working with cloud-based conversational AI services.
• Knowledge and demonstrable skills in deep learning architectures and implementation using Pytorch, TensorFlow, or other frameworks.

Preferred Qualifications:

• Ability to leverage APIs and other relevant data science & data analytical tools such as Azure Machine learning, Synapse with strong data analytics & debugging skills.
• Base level understanding of Open AI and Azure Cognitive Services like Speech Services, LUIS, Computer Vision.
• Comfortable in automated deployments using CI/CD pipelines in Azure DevOps and MLOps.
• Strong communication skills (verbal and written) with the ability to communicate across teams, internal and external, at all levels.
• Problem-solving skills with a deep passion and empathy for customers.

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. 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.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

As the AI Customer Advocate, you will focus on large-scale, generative AI models with deep understandings of language and code to enable new reasoning and comprehension capabilities for building cutting-edge applications. You will apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data.

Your responsibilities will include:

• Work with Azure AI/OpenAI services to build and train models, create custom models for use cases, and optimize custom models.
• Exposure to ChatGPT and DALL·E 2.
• Incoming data validation, quality checks, and processing with tooling.
• End-to-end scenario implementation involving multiple cognitive services and integration with other Azure services.
• Collaborate with key stakeholders and contribute to the full development life cycle, including requirements analysis, architecture design, testing, and customer POC implementation.
• Explore and source a wide variety of data as a data enthusiast.
• Formulate real-world enterprise scenarios into machine learning problems and think of optimal ways of solving.
• Wrangle large datasets on the cloud to understand the properties of the data.
• Transform data into innovative features/signals that can improve machine-learning tasks.
• Participate in end-to-end machine learning model lifecycle, from prototyping, implementing & evaluating ML and DL models, followed by deployment and monitoring using Azure.
• Work in a team of engineers, data scientists, and UX experts to deliver an intuitive, robust solution to the customer.