AWS Gen AI / ML Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ryantech, is seeking the following. Apply via Dice today! AWS Gen AI / ML Engineer Location: Plano, TX (Onsite 5 days/week) Job Type: Contract < data-start="342" data-end="369">Position Summary We're seeking a hands-on AWS ML Cloud Engineer to design, deploy, and optimize cloud-native machine learning systems. You'll help power our next-generation predictive automation platform, integrating generative AI capabilities via AWS Bedrock and Anthropic APIs. Ideal candidates combine ML expertise, AWS fluency, and DevOps discipline to ship secure, scalable, and cost-effective solutions. Objectives • Design and productionize ML pipelines using SageMaker, Step Functions, and EKS • Integrate foundation models via AWS Bedrock and Anthropic APIs • Optimize existing ML frameworks for multi-region, multi-tenant workloads • Collaborate cross-functionally with Data Science, Engineering, Architecture, and Security teams • Monitor and mitigate data distribution drift to maintain model performance • Stay ahead of AWS, MLOps, and Gen AI advancements to drive platform evolution Key Responsibilities • Transform ML prototypes into secure, highly available AWS services • Conduct automated ML tests, experiments, and document performance (latency, cost, metrics) • Train, deploy, and monitor models using SageMaker Pipelines, Model Registry, and CloudWatch • Maintain optimized data pipelines via AWS Glue, Kinesis, Athena, Iceberg • Collaborate with product stakeholders to define success criteria and report outcomes • Contribute to internal ML libraries, SDKs, and IaC modules (Terraform / CDK) Required Skills Core Technical • AWS: SageMaker, Lambda, Step Functions, IAM, KMS, VPC, GuardDuty • ML theory and practical applications (supervised & deep learning) • CI/CD, DevOps: Docker, GitHub Actions, Terraform/CDK • Programming: Python, Java, Spring Boot, JavaScript/TypeScript • Networking & Linux fundamentals • REST/GraphQL API design • Gen AI: AWS Bedrock, Anthropic APIs Secondary / Tools • Debugging/profiling large-scale systems • Hybrid-cloud & data migration strategies • PyTorch, TensorFlow, Keras familiarity • Advanced statistics and algorithm knowledge • Excellent time management and documentation • Strong communication skills and collaborative mindset Preferred Qualifications • 12+ years in Software Engineering • 5+ years in ML Engineering / Cloud ML roles (preferably AWS) • Proficient in Python; working knowledge of Java or R • Experience deploying production ML systems • Contributions to open-source ML projects a plus • Bachelor's or higher in Computer Science, Data Engineering, Mathematics, or related field • AWS ML Specialty and/or Solutions Architect Associate certification preferred