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CONFIDENTIAL
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AWS ML Engineer

AWS ML Engineer

2 - 4 years

|

3 - 5 Lacs

Posted:1 month ago| Platform:

Apply

Skills Required

aws sagemaker ml pipelines ml algorithms machine learning python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role & responsibilities

Develop, train, and deploy ML models using
SageMaker, Lambda, and Step Functions
.
Build and automate
data preprocessing and feature pipelines
(Glue, EMR, Athena).
Integrate models with APIs or microservices for real-time prediction.
Optimize models for accuracy, cost, and latency.
Collaborate with data and DevOps teams on CI/CD and monitoring.

Preferred candidate profile

Strong in
Python, PyTorch/TensorFlow, Scikit-learn
.
Hands-on with
AWS ML stack (SageMaker, Lambda, S3, ECR, IAM)
.
Experience with
data engineering tools
(Glue, Redshift, Athena).
Understanding of
MLOps, containerization (Docker/EKS)
.
AWS Certified Machine Learning Specialty
preferred.

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