Aws mlops engineer

3 weeks ago

Bengaluru, India Tata Consultancy Services Full time
Role -AWS MLOps (Machine Learning Operations) Engineer
Exp-4 to 8 years
Loaction-Bangalore/Kolkata
AWS MLOps (Machine Learning Operations) Engineer with 5-6 years relevant experience in AWS personalization (Personalize is an ML service that helps developers quickly build and deploy a custom recommendation engine with real-time personalization and user) - is responsible for designing, implementing, and managing machine learning infrastructure and workflows on the AWS platform. Here's a basic breakdown of job design for an AWS MLOps Engineer:
1. **Infrastructure Setup:** Designing and deploying AWS infrastructure components such as EC2 instances, S3 buckets, VPCs, and networking configurations tailored for machine learning workloads.
2. **Automated Model Deployment:** Developing automated pipelines for model training, evaluation, and deployment using AWS services like Sage Maker, AWS Lambda, and AWS Batch.
3. **Monitoring and Optimization:** Implementing monitoring solutions to track model performance, resource utilization, and overall system health. Employing AWS Cloud Watch, AWS X-Ray, or custom monitoring tools.
4. **Security and Compliance:** Ensuring the security of data and models by implementing encryption, access controls, and compliance measures following AWS best practices and industry standards.
5. **Collaboration and Documentation:** Collaborating with data scientists, engineers, and stakeholders to streamline workflows, document processes, and share best practices.
6. **Cost Optimization:** Optimizing costs by utilizing AWS cost management tools and strategies, such as selecting the right instance types and scaling resources efficiently.
7. **Continuous Integration/Continuous Deployment (CI/CD):** Establishing CI/CD pipelines through Terraform for ML models to enable automated testing, validation, and deployment.
8. **Troubleshooting and Support:** Diagnosing and resolving issues related to infrastructure, deployment, or performance to ensure smooth operations.
9. **Adopting New Technologies:** Staying updated with the latest AWS services and machine learning frameworks to propose and implement improvements in the existing infrastructure and processes.
10. **Documentation and Training:** Documenting processes, best practices, and creating training materials to facilitate knowledge transfer and assist team members.
This role requires a deep understanding of AWS services, machine learning concepts, programming skills, and Dev Ops practices to effectively manage and optimize the machine learning lifecycle on the AWS cloud.
Talent Acquisition Team
TCS (Tata Consultancy Servies)

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