SageMaker Administrator

Senior AI Engineer / SageMaker AdministratorLocation: Bangalore / Pune / Mysore / HyderabadIndustry: BankingExperience: 8+ years (3+ years relevant in AI Engineering / AWS / SageMaker)Work Mode: HybridInterview Mode: Face-to-FaceShift Timing: 10:30 AM – 8:00 PMAbout the Role We are looking for a highly skilled Senior AI Engineer / SageMaker Administrator to lead, optimize, and secure ML workflows in AWS. The role requires deep expertise in AI/ML engineering, SageMaker, AWS infrastructure, and financial services datasets. You will enable efficient model development, deployment, monitoring, and MLOps automation while ensuring strong governance, security, and cost control.Roles & ResponsibilitiesDesign, develop, and deploy ML models using SageMaker (notebooks, training jobs, endpoints).Work with data scientists to improve model performance, scalability, and reliability.Implement MLOps best practices: model versioning, CI/CD, automated deployments.Build and manage data pipelines for large FS datasets (banking, payments, credit, trading).Configure and manage SageMaker Studio, user profiles, lifecycle configs.Manage compute (CPU/GPU), storage, endpoints for multi-team usage.Implement IAM roles, permissions, and security policies with least-privilege access.Monitor, troubleshoot workloads and optimize costs via autoscaling and resource management.Required Skills & Qualifications8+ years in software/cloud/AI-ML engineering.3+ years hands-on with SageMaker + AWS services (S3, Lambda, IAM, CloudWatch, VPC).Strong Python, SQL, and ML frameworks (TensorFlow, PyTorch, scikit-learn).Experience with financial services data domains.Familiar with MLOps, CI/CD, model monitoring.Strong understanding of data security, governance, and FS compliance.Excellent problem-solving and communication skills.