Senior AWS ML Engineer
Role summary
We are seeking a Senior AWS ML Engineer with 6-8 years of experience to design, build, and deploy machine learning models and pipelines on AWS. You will develop end-to-end ML workflows using services like SageMaker, Glue, S3, and Lambda, covering data preprocessing, training, inference, and monitoring. The role involves integrating ML models with applications via APIs and cloud services, and optimizing model performance, scalability, and cost on AWS infrastructure. Collaboration with data scientists, data engineers, and DevOps teams in an Agile environment is key.
Total Experience: 6-8 years
Required Skill Sets:
• Design, build, and deploy ML models and pipelines on AWS
• Develop end to end ML workflows using Sage Maker, Glue, S3, and Lambda
• Build data preprocessing, training, inference, and monitoring pipelines
• Integrate ML models with applications using APIs and cloud services
• Optimize model performance, scalability, and cost on AWS infrastructure
• Collaborate with data scientists, data engineers, and DevOps teams in Agile delivery
