AWS ML Engineer

Request ID: 101260-1 Title: AWS ML Engineer Location: Malvern PADuration: 6+ Months Salary Range: $52- $57 an hour on W2 Job Description:Design, build, and deploy scalable Machine Learning solutions on AWS using Sage Maker, ensuring high performance, reliability, and security. Develop and maintain end-to-end ML pipelines, including data preparation, model training, hyperparameter tuning, deployment, and monitoring. Collaborate with data scientists, engineers, and business stakeholders to operationalize ML models, automate workflows, and drive business outcomes through AI/ML solutions. Detailed Technical skills -Amazon Sage Maker Expertise - Strong experience with Sage Maker Studio, Training Jobs, Pipelines, Model Registry, Feature Store, and Endpoint Deployment. Machine Learning & Deep Learning - Hands-on experience building, training, tuning, and deploying ML/DL models using Scikit-learn, XGBoost, Tensor Flow, and PyTorch. AWS Cloud Services - Proficiency in S3, EC2, IAM, Lambda, ECR, ECS/EKS, Cloud Watch, and Step Functions for ML workloads. MLOps & CI/CD - Experience implementing automated ML pipelines, model versioning, deployment automation, monitoring, and retraining workflows. Python Programming - Strong coding skills with Python and ML libraries such as Pandas, Num Py, Scikit-learn, and Boto 3.Data Engineering & Analytics - Experience with data ingestion, transformation, and processing using AWS Glue, Athena, Redshift, and EMR.Model Monitoring & Governance - Expertise in data drift detection, model performance monitoring, explainability, and governance using Sage Maker monitoring capabilities. Solution Architecture & Leadership - Ability to design scalable end-to-end ML solutions on AWS, lead technical discussions, mentor teams, and collaborate with business stakeholders. Skills: Digital: Python~Digital: Machine Learning Experience Required: 6-8 Appreciate your quick response and please feel free to reach me out for any query you may have. Thanks