Senior DevOps Engineer – Azure, Databricks, AI/ML Focus
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Job Description
Senior DevOps Engineer specializing in Azure Databricks and AI/ML operations at Acuity Analytics. Contributing to AI platform enabling efficient ML model management and governance.
Responsibilities:
- Design, implement, and optimize ML/AI pipelines for training, deployment, monitoring, and governance.
- Leverage Azure Databricks capabilities including MLFlow for experiment tracking and Unity Catalog for data governance.
- Build and maintain CI/CD pipelines as well as automated ModelOps workflows for AI/ML applications.
- Ensure data architecture supports schema evolution, governance, and compliance requirements.
- Operate in a cloud-native Azure environment to deliver robust and scalable ML solutions.
Requirements:
- Proven experience with Azure Databricks, including MLFlow and Unity Catalog.
- Strong background in DevOps for ML/AI, including CI/CD and pipeline automation.
- Solid understanding of data architecture, schema evolution, and governance principles.
- Experience working in Microsoft Azure or similar cloud environments.
- Hands-on experience with Infrastructure as Code (IaC) using Terraform.
- High-level understanding of machine learning and generative AI concepts and workflows (Nice to Have).
- Solid knowledge of containerization (Docker) and orchestration (Kubernetes) (Nice to Have).
- Experience in Python software development and scripting (Nice to Have).
- Hands-on experience with TensorFlow, PyTorch, and Scikit-learn in a Databricks environment (Nice to Have).
Benefits:
- People are at the Heart of our Business.
- By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.
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