Senior MLOps Engineer

• Location: Noida Sector 63 (On-site)
• Experience: 3+ years of experience

Key Responsibilities:

1. MLOps & Deployment -Build and deploy ML models using AWS SageMaker, Lambda, and related services. -Automate pipelines for model training, validation, deployment, and monitoring. -Implement CI/CD best practices for model versioning and seamless updates.
2. Infrastructure Development -Design scalable, secure infrastructure using AWS (EC2, S3, SageMaker, ECR, ECS/EKS). -Utilize Docker/Kubernetes for model deployment as microservices. -Manage Infrastructure as Code (IaC) using Terraform or AWS Cloud Formation.
3. Model Monitoring -Set up monitoring and alerting for performance tracking and anomaly detection. -Automate model retraining with new data for continuous improvement. -Troubleshoot ML pipelines and infrastructure to ensure stability.
4. AWS Connect Integration -Integrate ML models with AWS Connect for real-time insights in customer workflows. -Ensure accessibility of models across applications and stakeholders.
5. Collaboration & Security -Work with cross-functional teams on project goals and ML standards. -Ensure compliance with data security and regulatory requirements.

Technical Skills:

• Strong expertise in AWS (SageMaker, EC2, S3, Lambda, ECR/ECS/EKS).
• Proficiency in Python with ML and data manipulation libraries.
• Hands-on experience with Docker, Kubernetes, Terraform, or AWS Cloud Formation.
• Experience with CI/CD pipelines, Git, and version control.
• Familiarity with AWS Connect for ML integration.