Architect and develop scalable microservices for the MLOps platform using Python and
FastAPI.
• Build event-driven systems with Apache Kafka and AWS SQS to support ML
workflows.
• Design and optimize ML model serving pipelines for production environments.
• Deploy cloud-native solutions on AWS to ensure scalability and performance of the
MLOps platform.
• Mentor junior engineers and champion code quality, testing, and CI/CD practices.
• Collaborate with data scientists to streamline and enhance model deployment workflows.
• Lead technical strategy and architecture decisions for the MLOps platform.
Company Description
Join Syngenta Group, a leader in agricultural innovation where technology meets purpose. As digital pioneers in AgTech, we're integrating AI across our value chain from smart breeding to precision agriculture. Our global team of 56,000 professionals is transforming sustainable farming worldwide. At Syngenta IT & Digital, your expertise will directly impact food security and shape the future of agriculture through cutting-edge technology.
Qualifications
• Degree in Computer Science, Software Engineering, or equivalent experience.
• 6+ years of software development experience, with strong proficiency in Python.
• Expertise in:
o Python frameworks (FastAPI, Django, or Flask).
o AWS services (ECS, Lambda, S3, DynamoDB, SQS).
o Apache Kafka and message queuing systems.
o ML model serving and deployment pipelines.
o RESTful APIs, microservices, and container technologies (Docker, Kubernetes).
• Strong experience with CI/CD pipelines and DevOps practices.
• Exceptional problem-solving, system design, and communication skills.
• Preferred:
o Experience with ML model optimization and real-time prediction systems.
o Familiarity with AgTech or similar domains.
o Proficiency in infrastructure as code (Terraform, CloudFormation).
Preferred Skills and Focus Areas
• ML Operations: Building and leading MLOps platforms, including model serving
pipelines, versioning, A/B testing, and performance monitoring.
Message Queuing: Apache Kafka for high-throughput streaming and AWS SQS for
cloud-native queuing.
• Cloud Architecture: Designing distributed systems, scalable microservices, and event-
driven architectures for MLOps.
• Familiarity with real-time prediction systems and infrastructure as code (Terraform,
CloudFormation).
• Knowledge of AgTech or related industries
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.
Website address - https://www.syngentagroup.com/
LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all
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