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Salary
≈ $18k – $42k per year (Estimated)
Location
In office (Bengaluru, Delhi, Hyderabad)
Seniority
Senior · 7+ years exp

First seen by Alion on Oct 25, 2026.

Overview
Company
Impact
Profile match
Insight. Infra space may replicate 2003-07 boom, last for 4-6 years: Vijay Kedia.

Responsibilities:

  • System Architecture: Build, deploy, and manage scalable machine learning systems on AWS.
  • Model Lifecycle: Manage the full ML lifecycle, including data preprocessing, feature engineering, and production-grade deployment.
  • Generative AI: Develop solutions using modern frameworks like Amazon Bedrock and Hugging Face.
  • Automation and MLOps: Implement MLOps best practices, including model monitoring and CI/CD for ML workflows.
  • Collaboration: Work within agile environments alongside cross-functional data and engineering teams.


Requirements:

  • AWS Core Services: Amazon SageMaker (Pipelines and Studio), Glue, Lambda, Step Functions, and EventBridge.
  • Generative AI and NLP: Amazon Bedrock, Amazon Comprehend Medical, Amazon Textract, and Hugging Face Transformers.
  • Deployment: API Gateway and containerised environments (ECS/EKS) for scalable inference.
  • Programming: High proficiency in Python.
  • Frameworks: TensorFlow, PyTorch, and Scikit-learn.
  • Security: Familiarity with AWS IAM, KMS, CloudTrail, and general governance frameworks.

Skills

API Gateway, AWS, Bedrock, ECS, EKS, EventBridge, Glue, Hugging Face, Lambda, PyTorch, Python, SageMaker, Step Functions, TensorFlow, scikit-learn

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