Cloud-Based Data Science Engineer with Azure Expertise
2 days ago
We are seeking an experienced Senior Azure MLOps Engineer to join our Global Analytics unit, a centralized team that strengthens data-driven decision-making and develops smart data products for day-to-day operations.
About the RoleThe ideal candidate will have a strong background in operationalizing Data Science projects using Azure, deploying and managing ML models in production environments, and expertise in DevOps tools and methodologies.
As a Senior Azure MLOps Engineer, you will collaborate with Data Scientists to understand business challenges, design smart data products, develop and enhance MLOps frameworks, and ensure adherence to best practices.
Key Responsibilities- Design and implement Azure-based cloud infrastructure to support AI-driven applications.
- Build and optimize Azure cloud-hosted, automated pipelines for running, monitoring, and retraining data science models.
- Support Data Engineers in automating data ingestion and processing workflows.
- Create and maintain workflows for training, testing, and deploying data science models into production environments.
To be successful in this role, you should possess:
- Expertise in Azure, Python, Azure DevOps, Kubernetes, Docker, RDBMS, IaC, MLOps, Azure ML, Azure App Service, Azure Data Lake Storage, Azure Functions, and Bash.
- Familiarity with Agile and Scrum methodologies.
In addition to a competitive salary, we offer:
- A sport subscription.
- Private healthcare.
- A training budget.
- International projects.
- A modern office environment.
- No dress code.
Salary: $120,000 - $150,000 per year
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