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Senior Azure MLOps Engineer
2 months ago
We are seeking a highly skilled Senior Azure MLOps Engineer to join our Global Analytics unit. As a key member of our team, you will play a crucial role in strengthening data-driven decision-making and developing smart data products for day-to-day operations.
Key Responsibilities:- Collaborate with Data Scientists to understand business challenges and design smart data products.
- Develop and enhance MLOps frameworks for Data Science projects, ensuring adherence to best practices.
- Design and implement Azure-based cloud infrastructure to support the development and deployment of AI-driven applications.
- Build and optimize Azure cloud-hosted, automated pipelines for running, monitoring, and retraining data science models in business applications.
- 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 in close collaboration with Data Scientists and Data Engineers.
- Manage the life cycle of deployed ML applications, including new releases, change management, monitoring, and troubleshooting.
- Strong background in Azure cloud services and infrastructure.
- Advanced proficiency in Python, with nice-to-have experience in Django and FastAPI.
- Expertise in DevOps tools and methodologies, such as Docker, Kubernetes, and CI/CD pipelines.
- Experience with Azure DevOps, including CI/CD pipelines and releases, with test plans as a nice-to-have.
- Proficiency in Git, with a focus on Trunk-based development; other Git branching strategies are a nice-to-have.
- Solid understanding of RDBMS, with PostgreSQL as a nice-to-have.
- Experience with Infrastructure as Code (IaC), specifically Bicep.
- Strong skills in Bash scripting.
- Familiarity with Azure Machine Learning, with Python SDK v2 as a nice-to-have.
- Experience with Azure App Service, Azure Container Apps, Azure Data Lake Storage, and Azure Functions.
- Strong software engineering skills, including unit testing and object-oriented programming (OOP).
- Ability to develop and enhance CI/CD pipelines for continuous integration and deployment during both development and production phases.
- Solid understanding of machine learning algorithms and AI concepts, with hands-on experience in ML model development.
- Experience in building and optimizing data pipelines, architectures, and datasets.
- Ability to write high-quality, well-documented, and thoroughly tested code.
- Experience in production deployment and the ability to design and deliver products with a modular approach.
- Experience working in start-up environments or organizations with an agile culture, particularly in cross-functional teams.
- Professional attitude and a strong service orientation.
- Team player with the ability to work autonomously on complex projects.
- Fluency in English, as it will be the primary language of communication.
- Experience with Pandas for data manipulation.
- Familiarity with Spark and Databricks for big data processing.
- Experience with DBT (Data Build Tool) for data transformations.
We offer a dynamic and innovative work environment, with opportunities for growth and development. If you are a motivated and experienced Senior Azure MLOps Engineer looking for a new challenge, please submit your application.