Company Description

Syngenta is one of the world’s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities.

A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet.

To learn more visit: www.syngenta.com

Job Description

Role purpose

The MLOps Engineer is a developer with solid experience in systems management, agile methodology, and operational-ready products (DevOps). This role contributes to the development of our Data Science and ML Ops Platform, applying efficient development practices with full-stack proficiency. Team collaboration and leadership potential are key success factors, alongside effective stakeholder engagement and interaction with agronomists and product owners to deliver business impact.

Knowledge, experience & capabilities

Experience

4+ years of professional software development experience3+ years hands-on MLOps, DevOps, or platform engineering experienceDemonstrated experience delivering production ML systems or data platformsTrack record of working in cross-functional teams

Core Engineering Skills

Strong full-stack development: ReactJS with Python, Java, or Node.js backendsProficient in SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databasesSolid CI/CD automation experience: Jenkins, GitLab CI, GitHub Actions, automated testingRESTful API design and implementation following industry standardsMicroservices architecture and containerization with Docker/Kubernetes

MLOps & Cloud

Hands-on experience with MLOps frameworks: MLflow, Kubeflow, SageMaker, or similarAWS DS & AI EcosystemsAWS cloud services: EC2, S3, Lambda, ECS/EKS, model deployment pipelinesInfrastructure as Code basics: Terraform or CloudFormationAgile/Scrum methodology with sprint delivery experienceExperience mentoring junior engineers or leading small technical initiatives

Critical success factors & key challenges

Technical Execution

Strong algorithm design and problem-solving capabilitiesBuild and deliver Infrastructure, environment and pipelines for DS, ML and AI SolutionsSupport prioritization of business initiatives across complex technical landscapes

Collaboration & Communication

Explain technical concepts clearly to non-technical stakeholders including agronomistsWork effectively across data science, engineering, and business teamsContribute to technical documentation and knowledge sharing

Growth & Leadership

Demonstrate problem-solving and sound decision-making skillsShow teamwork, emerging leadership abilities, and mentorship potentialAdapt quickly in dynamic environments with evolving requirements

Innovations

Employee may, as part of his/her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets.

Qualifications

 

Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related technical fieldEquivalent combination of education and professional experience considered

Additional Information

Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of 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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