Join Syngenta Group as an AWS and MLOps SageMaker Expert

Company Description

Syngenta Group is a global leader in sustainable agriculture innovation, rooted in a rich history spanning over 250 years. With a global presence in over 100 countries and a dedicated workforce of 53,000, we are committed to delivering tailor-made solutions that enhance the efficiency of farmers, the society, and our planet. As the most localized agricultural technology and innovation partner worldwide, we uphold the highest standards of ethics and integrity. Syngenta Group fosters a workplace culture free from discrimination and harassment, contributing positively to the community and ensuring the well-being of our employees.

Job Description

We are on the lookout for an experienced and skilled professional to enrich our Data Science Platform team as an AWS and MLOps SageMaker Expert. The ideal candidate will utilize their profound expertise in AWS SageMaker to drive the development and operationalization of machine learning models within a production setting. A significant part of this role involves establishing and maintaining MLOps best practices to facilitate the seamless integration of machine learning models into the software development lifecycle.

Key Responsibilities:

• Design, develop, and deploy machine learning models utilizing AWS SageMaker.
• Implement and advocate for MLOps best practices to enhance model deployment and management.
• Work collaboratively with cross-functional teams to ensure the integration of machine learning solutions within the software development phases.
• Continuously optimize machine learning pipelines for enhanced performance and scalability.
• Stay updated on the latest AWS SageMaker features to continuously improve our machine learning frameworks.

Qualifications

The ideal candidate will bring 6-10 years of relevant experience and should possess:

• Proven capability in designing, developing, and deploying machine learning models using AWS SageMaker.
• Comprehensive understanding and implementation of MLOps best practices in a production environment.
• Excellent collaboration and communication skills for effective teamwork across various functions.
• Expertise in optimizing and fine-tuning machine learning pipelines to ensure peak performance and scalability.
• A commitment to staying informed on the evolving features of AWS SageMaker and leveraging them for continuous infrastructure enhancement.

Additional Information

Syngenta is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.

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Embark on a career that makes a real difference in global agriculture by applying to join our innovative team today as an AWS and MLOps SageMaker Expert!