Infrastructure Engineer (AWS/ML) - Delivery Consultant, Software Engineering Solutions

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success.

You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses.

Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a US Delivery Center Consultant - Infrastructure Engineer on the team, you will:

You will help operationalize and support the machine learning lifecycle in AWS-based environments.

You will work with data engineering, data science, infrastructure, and application teams to deploy, manage, monitor, and support production ML solutions.

You will:


* Build and maintain AWS environments supporting analytics and ML workloads, including compute, storage, IAM, VPCs, security groups, SageMaker, Glue, Athena, CloudTrail, and CloudWatch


* Support ML pipeline engineering, including Git workflows, CI/CD, infrastructure as code, containerization, and deployment automation


* Deploy and manage ML models in production, including endpoints, model versioning, rollback procedures, and release controls


* Support MLflow-enabled experiment tracking and model lifecycle management


* Execute shadow testing and parallel-run validation to compare new models or pipelines with current-state solutions, identify drift, and assess production readiness


* Stand up and maintain research and production environments for analytics and ML pipelines


* Implement secure data access, environment configuration, deployment readiness, and operational controls


* Provide production support through logging, alerting, incident response, root-cause analysis, job recovery, troubleshooting, and performance tuning


* Troubleshoot basic AWS networking, platform, and deployment issues


* Embed security, access, and compliance controls into platform operations and deployment processes


* Collaborate across infrastructure, application, data engineering, and data science teams while maintaining ownership of assigned deliverables and platform reliability


* Document technical processes, operating procedures, deployment standards, and support requirements

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact.

Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise.

We help transform engineering teams, modernize technology, & deliver complex programs with a product engineering mindset.

Our flexible deliv...