Sr. AWS-ML-Sagemaker Engineer

Management Consulting | Core Business Operations
Same job available in 6 locations

Gilbert, Arizona, United States

Harrisburg, Pennsylvania, United States

Lake Mary, Florida, United States

Mechanicsburg, Pennsylvania, United States

Orlando, Florida, United States

Tempe, Arizona, United States

Position Summary

Senior AWS-ML-Sagemaker Engineer

Are you an experienced, passionate pioneer in technology? A cloud solutions builder who wants to work in a collaborative environment. As an experienced Senior AWS-ML-Sagemaker Engineer

you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. Consider an opportunity with our US Delivery Center – we are breaking the mold of a typical Delivery Center.

Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon.  Interested? Read more about our opportunity below …

Work you’ll do/Responsibilities.

  • Be well-versed in cloud technologies, specifically AWS services, and have a robust understanding of Machine Learning models, especially in the domain of AWS Sagemaker.
  • Collaborate closely with Cloud Infrastructure Engineers to enhance our AIOps product development for Deloitte Cloud Managed Services.
  • Analyze vast amounts of cloud infrastructure log data to extract meaningful insights.
  • Design, develop, and deploy Machine Learning models on AWS Sagemaker.
  • Enable smart alerting mechanisms to notify stakeholders of potential system threats or outages.
  • Implement anomaly detection models to proactively identify system outages or failures.
  • Build security models to detect potential threats and vulnerabilities within the cloud infrastructure.
  • Optimize models for scalability, efficiency, and real-time performance.
  • Document all processes, models, and procedures to ensure best practices.
  • Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain cutting-edge.

The Team

Deloitte’s Government & Public Services practice—our people, ideas, technology and outcomes—is designed for impact. Our team of over 15,000+ professionals bring fresh perspective to help you anticipate disruption, reimagine the possible, and fulfill your mission promise.

The US Cloud Engineering Offering focuses on enabling our client’s end-to-end journey from On-Premise to Cloud, with opportunities in the areas of Cloud Strategy and Op Model Transformation, Cloud Development & Integration, Cloud Migration, and Cloud Infrastructure & Managed Services. Cloud Engineering supports our clients as they improve agility, resilience and identifies opportunities to reduce IT operations spend through automation by enabling Cloud. We accelerate our clients toward a technology-driven future, leveraging vendor solutions, Deloitte-developed software products, tools, and accelerators.

Required Qualifications

  • Bachelor’s Degree preferably in Computer Science, Engineering, Management Information Systems or equivalent work experience
  • 5+ years of experience with AWS services, with a focus on Sagemaker.
  • Demonstrated experience working within AWS cloud environments, base understanding of AWS services and able to navigate console as well as utilize AWS command line interface CLI.
  • Experience enhancing Cloud Operations Efficiency through AI/ML-driven Automation.
  • Proven expertise in Machine Learning model development, training, and deployment.
  • Strong understanding of cloud infrastructure and log data analysis.
  • Knowledge of AIOps and its application in cloud managed services.
  • Proficiency in programming languages such as Python, R, or Java.
  • Strong problem-solving skills and analytical mindset.
  • Demonstrate strong communication skills to translate technical software solutions to non-technical clients.
  • Must be in your designated office location 10%-30% of each work week.
  • Ability to travel 10% on average, based on the work you do, the clients you serve and industries/sectors you serve.
  • Must live near the Lake Mary, FL; Gilbert, AZ; or Mechanicsburg, PA areas.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred Qualifications:

  • AWS Certifications, especially in Machine Learning or Big Data.
  • Experience with other AWS services like Lambda, EC2, RDS, Kinesis, etc.
  • Familiarity with other cloud platforms like Azure or Google Cloud.
  • Prior experience in a product development environment.
Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture

Our diverse, equitable, and 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 ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.
Our purpose

Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact.
Professional development

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.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Requisition code: 164095


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