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You will be updated with latest job alerts via emailArchitect 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.
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 - page - Work :
No
Employment Type :
Full-time
Full-time