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

Deloitte • Lake Mary, FL

53d • Hybrid

About The Position

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.

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.

Requirements

• Bachelor’s degree
• 2+ years of hands-on AWS, DevOps, and infrastructure experience
• 2+ years of experience developing with Python and SQL
• Experience deploying and supporting ML pipelines and production models, including monitoring, troubleshooting, versioning, rollback, and release management
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Nice To Haves

• Strong written and verbal communication skills, with the ability to explain technical issues to both engineering and business stakeholders.
• Hands on AWS experience - compute, storage, IAM, VPC/networking, security groups, SageMaker, Glue, Athena, CloudTrail, CloudWatch, IaaC, and environment management
• Experience implementing DevOps / pipeline engineering: CI/CD, GitHub, infrastructure as code, containerization, deployment automation on AWS

Responsibilities

• 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

Benefits

• Learn more about what working at Deloitte can mean for you.
• Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively.
• It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
• Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
• From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level