Customer Technology Architect

3 weeks ago

Melbourne, Victoria, Australia Microsoft Full time
Job Title: Customer Technology Architect - Data and AI

We are seeking a highly motivated and passionate customer advocate with expertise in AI and machine learning technology.

About the Role

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.

Responsibilities
  • Work with Azure AI/Open AI services to build and train models, create custom models for use cases, and optimize custom models.
  • 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.
Requirements
  • 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, Tensor Flow, or other frameworks.
  • 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 Dev Ops 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.

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