Jobs → Engineering → AI/ML Engineer

About the Role We are looking for an AI/ML Engineer to join our team and work on designing and maintaining end-to-end ML pipelines on AWS. Key Responsibilities • Design and maintain end-to-end ML pipelines on AWS using SageMaker, Bedrock, ECS, Lambda, and Step Functions • Implement CI/CD pipelines and Infrastructure as Code using Terraform or CloudFormation • Build model monitoring, drift detection, logging, and alerting solutions • Optimize ML training and inference workloads for cost, performance, and scalability • Implement secure AI/ML practices, including IAM, encryption, network isolation, and compliance controls • Collaborate with data scientists to deploy production-ready models and maintain model registries, feature stores, and experiment tracking Requirements • 4+ years of experience in AI/ML and cloud platform engineering • Strong hands-on experience with AWS services, especially SageMaker, Bedrock, EC2, ECS/EKS, S3, IAM, and CloudWatch • Experience with ML CI/CD pipelines and Infrastructure as Code (Terraform preferred) • Strong understanding of the ML lifecycle, model versioning, deployment, and monitoring • Proficiency in Python, Docker, and Kubernetes/EKS/ECS • Knowledge of ML security best practices, encryption, and network controls