Mlops Engineer Ii, Amazon

Are you looking to join a team that is among the fastest growing organizations at Amazon? Does wearing multiple hats and working in a fast-paced, challenging environment sound like a good fit? Then consider joining the Amazon Advertising Trust team. You will be solving difficult non-deterministic workflows, work with highly scaled systems, and build technological frameworks/systems that keeps raising the bar on quality. Amazon Advertising Trust team is committed to enable the fastest growing advertising business in the world, while upholding customers and advertisers trust.
We are seeking a talented and experienced Machine Learning Operations Engineer to join our dynamic team. As an ML Ops Engineer, you will play a critical role in bridging the gap between data science and IT operations, ensuring the smooth deployment, scaling, and maintenance of machine learning models in a production environment. You will work closely with data scientists, software engineers, and DevOps teams to streamline the machine learning lifecycle and optimize the performance of our AI applications.
Key job responsibilities
Model Deployment and Scaling:
* Deploy and manage machine learning models in production environments.
* Implement scalable and reliable systems to handle model inference at scale.
* Work on containerization and orchestration solutions for model deployment.
Automation and Continuous Integration/Continuous Deployment (CI/CD):
* Develop and maintain automated pipelines for model training, testing, and deployment.
* Implement CI/CD practices to enable rapid and reliable model updates.
Infrastructure Management:
* Collaborate with Engineering/DevOps teams to optimize infrastructure for machine learning workloads.
* Manage and monitor machine learning infrastructure, ensuring high availability and performance.
Monitoring and Logging:
* Implement robust monitoring and logging solutions for tracking model performance and system health.
* Respond to alerts and troubleshoot issues related to model deployment and infrastructure.
Security and Compliance:
* Implement security best practices for machine learning systems.
* Ensure compliance with data protection and privacy regulations.
Collaboration with Data Science and Engineering Teams:
* Collaborate with data scientists to understand model requirements and deployment constraints.
* Work closely with software engineers to integrate machine learning models into applications.
We are open to hiring candidates to work out of one of the following locations:
Bangalore, KA, IND
- 2+ years of software development, or 2+ years of technical support experience
- Bachelor's degree in engineering or equivalent
- Experience troubleshooting and debugging technical systems
- Experience in Unix
- Experience with AWS, networks and operating systems