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SageMaker Administrator

8 years

0 Lacs

india

Posted:2 weeks ago| Platform: Linkedin logo

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Skills Required

sagemaker ai engineering aws timing ml model development deployment monitoring automation governance security design training data scalability versioning payments storage iam autoscaling software python sql tensorflow pytorch communication

Work Mode

On-site

Job Type

Contractual

Job Description

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

Senior AI Engineer / SageMaker Administrator

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.

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