Associate Director of Generative AI at Gilead Sciences leading AI initiatives across commercial functions. Developing and deploying Gen AI solutions to enhance healthcare outcomes while ensuring compliance with regulatory standards.
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Hybrid Cloud Developer, Azure AI Foundry
Posted last month
About the role
- Cloud Developer (Azure AI Foundry) working on AI integration and cloud solutions. Responsible for MLOps practices and collaborating with data teams for performance monitoring.
Responsibilities
- Responsible for maintaining, evolving, and integrating solutions on the Azure AI Foundry platform, with a focus on artificial intelligence, machine learning, and cloud process automation.
- Ensure scalability, security, and performance of solutions, and collaborate with data, engineering, and product teams to accelerate AI adoption across the organization.
- Develop, configure, and maintain data pipelines and AI models within Azure AI Foundry.
- Automate MLOps processes and ensure best practices for versioning, monitoring, and reproducibility.
- Integrate Azure services such as Azure Machine Learning, Azure Data Factory, Azure Synapse, and others.
- Ensure security, compliance, and governance of cloud resources.
- Work closely with data scientists, data engineers, and solution architects.
- Participate in defining the architecture of AI-based solutions.
- Monitor and optimize the performance of cloud workloads.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or a related field.
- Experience with Azure AI Foundry and related Azure services.
- Experience with monitoring and logging cloud applications.
- Azure certifications are a plus (e.g., Azure AI Engineer Associate, Azure Solutions Architect).
- Knowledge of MLOps, CI/CD, and Infrastructure as Code (IaC) — preferably with Terraform or Bicep.
- Proficiency in languages such as Python and SQL, and version control tools (Git).
- Familiarity with containers (Docker, Kubernetes) and distributed environments.
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FI
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