AI/ML Engineer

Strong experience in designing, developing, and deploying Generative AI and Machine Learning solutions on AWS using Bedrock, SageMaker, Python, MLOps, and cloud-native architecture Python, PySpark, SQLMachine Learning, Deep Learning, NLPGenerative AI, LLMs, Prompt EngineeringAmazon Bedrock, AWS SageMakerRAG (Retrieval Augmented Generation), AI AgentsLangChain, LangGraph, LlamaIndexAWS Services: S3, Lambda, IAM, RDS, CloudWatchMLOps, MLflow, CI/CD PipelinesDocker, Kubernetes, TerraformREST APIs,

Job Title: AI/ML Engineer Location: Malvern, PA Duration: 6 Months + Extension Bill Rate: $88/hour Job Type: C2C/1099 Contract Client: To Be Discussed Later Work Authorization: USCGCH-1BOPT-EADGC-EADJob Description: Design, develop, and deploy scalable Al/ML and Generative Al solutions on AWS, leveraging services such as Amazon Bedrock, SageMaker, Lambda, and related cloud-native technologies. Build and optimize Agentic Al applications using LangChain and LangGraph, including multi-agent workf

Heavy focus on: AWS, SageMaker or similar ML tools, Dataiku (preferred)This person will build enterprise-grade AI agents and ML systems using Python in AWS, connect them to business data, orchestrate complex AI workflows, and help operationalize generative AI at scale. They should be very technical; be strong in Python, understand cloud infrastructure, knows LLM orchestration, can build production AI systems, and has ML fundamentals. TOP NON-NEGOTIABLE SKILLSEnterprise AI application engineer

What Data Science contributes to Cardinal Health The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific method