Senior AWS Cloud Engineer / AWS Cloud Platform Engineer –W2

The following requirement is open with our client. Title : AWS Cloud Engineer Location : Chester, PA (Onsite) Rate :$54/hr on W2 (All Inclusive) Employment Type : W2 Only Relevant Experience (in Yrs.): 8+ Job Description: Design, develop, and support scalable cloud-native applications on AWS. Configure AWS services, implement CI/CD pipelines, integrate AI services, and evaluate AI models to deliver secure, high-performance cloud solutions. Collaborate with cross-functional teams to translate bu

Job Title: AWS Cloud Engineer Python & AI/MLWork Location: Chester, PA 19013 (Hybrid onsite)Contract duration: 12+ months ContractVisa: s Job Description:Design, develop, and support scalable cloudnative applications and services on AWS ECS using modern programming languages Python preferredDesign and configure AWS infrastructure components including Lambda, IAM, S3, DynamoDB, KMS, and networkingsecurity configurations.Support application deployment through GitHubbased CICD pipelines across Eng

Reading, PA | Onsite | In-Person Client InterviewJob Description: AI EngineerPosition SummaryWe are seeking a highly motivated AI Engineer to design, develop, and deploy next-generation AI and machine learning solutions across the enterprise. The ideal candidate will have hands-on experience building intelligent applications, agentic AI systems, and scalable machine learning pipelines utilizing AWS cloud services and modern AI frameworks. This role requires a strong foundation in software engine

AI Role Required Qualifications Education Bachelors degree in Computer Science, Data Science, Engineering, Information Technology, or related field. Master's degree preferred. Technical Skills Strong hands-on experience developing production-grade applications using Python 3.11+. Experience designing and implementing agentic AI systems and intelligent automation workflows. Hands-on experience with Amazon SageMaker for machine learning model development, training, deployment, and monitoring