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AWS Data Scientist

ISite Technologies IncMalvern, PA🇺🇸United StatesPosted 29 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Any W2

Role Name - Data Scientist
ROLE_DESCRIPTION -
Senior AWS Data Scientist with 8+ years of experience in Machine Learning, MLOps, and GenAI, specializing in Amazon SageMaker, Bedrock, Python, and AWS analytics services to build, deploy, and optimize scalable AI/ML solutions.
 
AWS Data Scientist with strong expertise in Amazon SageMaker, Python, Machine Learning, MLOps, and AWS Analytics services, capable of building, deploying, monitoring, and optimizing scalable ML/AI solutions, including GenAI workloads on AWS.
Strong experience in Amazon SageMaker for ML model development, training, deployment, and monitoring.
Proficiency in Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
Hands-on with S3, Glue, Athena, Redshift, Lambda, and CloudWatch.
Expertise in feature engineering, predictive modeling, and statistical analysis.
Experience with MLOps, SageMaker Pipelines, CI/CD, Docker, and GitHub.
Knowledge of GenAI/LLMs, Amazon Bedrock, SageMaker JumpStart, and RAG frameworks.
Exposure to Arize AI/ML model monitoring and observability.
Strong problem-solving skills with experience delivering scalable AI/ML solutions on AWS.
 
Skills: Digital : Data Science~Digital : Python~Digital : Python for Data Science
Experience Required: 6-8

Skills

Docker
SQL
AWS
MLOps
Machine Learning
NumPy
Scikit-learn
Pandas
PyTorch
Python
Redshift
TensorFlow

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