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hace 2 meses
We are seeking a highly skilled Azure MLOps Engineer to join our Data Science team. As a key member of our team, you will play a crucial role in unlocking the full potential of data science, enabling us to deliver unparalleled value through scalable applications.
Key Responsibilities- Collaborate with data scientists to understand their 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.
We offer a comprehensive benefits program encompassing your total health - physical, mental, and financial. Our benefits include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time.
We are committed to building a diverse, inclusive and authentic workplace. If your past experience doesn't align perfectly, we encourage you to apply anyway. At times, we take into consideration transferable skills from previous roles. We also encourage you to join our Talent Network to stay connected to additional career opportunities.
Syneos Health is a leading integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Together we share insights, use the latest technologies and apply advanced business practices to speed our customers' delivery of important therapies to patients. We support a diverse, equitable and inclusive culture.
