SageMaker Administrator

Senior AI Engineer / SageMaker Administrator

Location : Bangalore / Pune / Mysore / Hyderabad

Industry : Banking

Experience : 8+ years (3+ years relevant in AI Engineering / AWS / SageMaker)

Work Mode : Hybrid

Interview Mode : Face-to-Face

Shift Timing : 10 : 30 AM – 8 : 00 PM

About 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 & Responsibilities

Design, 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 & Qualifications

8+ 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.