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Azure MLOps Engineer
hace 2 meses
We are seeking a highly skilled Azure MLOps Engineer to join our Data Science team at Syneos Health. As a key member of our team, you will play a crucial role in unlocking the full potential of data science and delivering unparalleled value through scalable applications.
Key Responsibilities- Collaborate with cross-functional teams to understand data scientists' needs and build efficient pipelines in response.
- Develop, maintain, and optimize Azure ML pipelines for quick, dependable model training, deployment, and evaluation.
- Employ Azure's monitoring tools to track model performance, ensuring sustained accuracy and reliability.
- Advance our model deployment strategy within Azure, incorporating best practices for version control and rollback mechanisms.
- Partner with the data platform team to refine our data infrastructure, fostering a productive feedback loop.
- Conduct Azure MLOps training for team members, promoting adherence to industry best practices.
- A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is required. A Master's degree or PhD is highly desirable.
- Demonstrable experience in an MLOps, Data Engineering, or similar role within a data-centric organization.
- Profound understanding and hands-on experience with the Azure cloud platform, specifically Azure Machine Learning and related AI services.
- Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and foundational machine learning principles.
- Experience with Azure-specific data pipeline and workflow management tools (e.g., Azure Data Factory, Azure Pipelines).
- Proficiency in Python and SQL. Experience with additional programming languages is beneficial.
- Exceptional problem-solving abilities, meticulous attention to detail, and the capacity for innovative thinking.
- Outstanding communication skills, capable of demystifying complex technical subjects for a non-technical audience.
At Syneos Health, we believe in providing an environment and culture in which our people can thrive, develop, and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance.
We are a global organization with a diverse range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life.
