Data Scientist

Summary - AWS Data Scientist / ML EngineerCore Responsibilities:Design and implement end-to-end Machine Learning pipelines using AWS services:Amazon SageMakerAWS GlueAWS LambdaAmazon S3Perform:Data collectionData cleaningFeature engineeringBuild predictive models and statistical solutions using:PythonRSimilar ML/Data Science toolsDeploy, monitor, and optimize ML models using AWS MLOps best practicesCollaborate with Data Engineering teams to build and maintain ETL pipelinesUse AWS analytics tools for reporting and visualization:AthenaRedshiftQuickSightEMRConvert business requirements into AI/ML-driven insights and solutionsWork on AI/ML use cases including:ForecastingAnomaly DetectionNLPComputer VisionRecommendation SystemsEnsure data security, governance, and compliance standards within AWS environmentsRequired Skill Set:AWS Cloud & ML ecosystem expertiseMachine Learning & Data Science experienceStrong Python/R programmingETL and Data Engineering understandingMLOps & model deployment experienceAnalytical and stakeholder communication skillsThanks and Regards,Johnson S - Sr.Technical RecruiterAptino, Inc.8176239800Johnson.sakare@

Created: 2026-05-14