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2 days ago
The successful candidate will design and implement scalable data pipelines, collaborate with cross-functional teams to integrate machine learning models into production, and ensure seamless deployment and monitoring of these models.
Responsibilities:- Develop Complex Data Pipelines: Utilize expertise in AWS services to create efficient architectures, deploy CI/CD pipelines using GitHub Actions and Apache Airflow, and deploy machine learning models using Amazon SageMaker.
- Collaborate with Cross-Functional Teams: Work closely with teams to integrate ML models into production, ensuring a seamless user experience.
- Maintain High-Quality Deployments: Ensure the smooth operation of deployed models, identifying areas for improvement and implementing fixes as needed.
We are seeking an experienced professional with hands-on knowledge of Docker, familiarity with AWS CloudFormation, AWS Glue, and AWS Lambda, as well as a solid understanding of MLOps best practices.
Key Skills:- AWS services expertise
- CI/CD pipeline management
- Machine learning model integration
- Docker containerization
- Cloud infrastructure management
This role offers opportunities for growth and development within a dynamic team focused on driving innovation and excellence.
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