Job Description
Architect and develop scalable microservices for the MLOps platform using Python and
FastAPI.
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.
Website address -
LI page -
Senior Software Engineer • pune, India