Azure MLOps Engineer

hace 6 días

Ciudad de México, Ciudad de México Syneos Health, Inc. A tiempo completo
About Syneos Health, Inc.

Syneos Health, Inc. 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.

Our team is dedicated to building a diverse, inclusive and authentic workplace. We believe in providing an environment and culture in which our employees can thrive, develop and advance.

Job Summary

We are seeking a highly skilled Azure MLOps Engineer to join our Data Science team. As an Azure MLOps Engineer, you will play a crucial role in unlocking the full potential of data science, enabling us to deliver unparalleled value through scalable applications.

You will collaborate with our expert data science team to design, implement and optimize machine learning systems on the Azure cloud platform. Your contributions will be vital in establishing robust ML pipelines that empower our data scientists to efficiently develop, deploy and monitor predictive models, leveraging the comprehensive tools available in Azure's Machine Learning ecosystem.

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.
Requirements
  • 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.
What We Offer
  • A comprehensive benefits program encompassing your total health - physical, mental and financial.
  • 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.
  • Flexible paid time off (PTO) and sick time.

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