Senior Software Engineer

Job Description

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.

MLOps platform.

Qualifications

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).

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

pipelines, versioning, A / B testing, and performance monitoring.

Message Queuing : Apache Kafka for high-throughput streaming and AWS SQS for

cloud-native queuing.

driven architectures for MLOps.

CloudFormation).

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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