AI/ML Engineer, Azure Cloud Migration
Overview
You will own the design and delivery of Azure-based AI/ML solutions for capital-funded cloud migration initiatives. Working with engineering, data, cloud, and business teams, you will migrate and modernize existing workloads while implementing scalable ML pipelines. This role combines hands-on model development with strategic migration planning. You will see your work directly impact enterprise data platforms in an Azure ecosystem.
What You'll Do8
- 1Design and implement Azure AI/ML solutions for enterprise workloads within the first 90 days.
- 2Lead migration of existing ML workloads to Azure cloud, ensuring minimal disruption and performance gains.
- 3Collaborate with cross-functional teams to integrate ML models into production data pipelines.
- 4Modernize legacy data platforms with Azure services like Azure Machine Learning and Azure Databricks.
- 5Develop and deploy Python-based ML models using scikit-learn or TensorFlow.
- 6Implement MLOps practices with Azure DevOps to automate model training and deployment.
- 7Optimize model performance and ensure scalability across distributed systems.
- 8Document architectural decisions and provide technical guidance to junior engineers.
Requirements6
- 15+ years in AI/ML engineering with hands-on Python and Azure.
- 23+ years building and deploying ML models in production.
- 3Experience with Azure Machine Learning, Azure Databricks, or Azure Cognitive Services.
- 4Strong understanding of TensorFlow or PyTorch.
- 5Proven track record of cloud migration projects.
- 6Excellent communication skills for cross-team collaboration.
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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