... machine learning workflows * Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center ...
... machine learning workflows * Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
... machine learning workflows * Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center ...
... machine learning workflows * Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
AI and Data Science Engineer III
Atlanta, GA · On-site +1
$110K - $132K/yr
... machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management * 4+ years of experience using Amazon ...
AI and Data Science Engineer III
Atlanta, GA · On-site +1
$110K - $132K/yr
... machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management * 4+ years of experience using Amazon ...
Software Product Architect
Atlanta, GA · On-site
... machine learning initiatives, including production model deployment and monitoring * 5+ years of hands-on experience with Python, Structured Query Language, and PySpark on Azure, Amazon Web Services ...
Software Product Architect
Atlanta, GA · On-site
... machine learning initiatives, including production model deployment and monitoring * 5+ years of hands-on experience with Python, Structured Query Language, and PySpark on Azure, Amazon Web Services ...
... such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver ... Machine Learning Engineer (MLE) Location: Alpharetta, GA. Type: Full-time Overview: We are seeking ...
... such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver ... Machine Learning Engineer (MLE) Location: Alpharetta, GA. Type: Full-time Overview: We are seeking ...
... such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver ... Machine Learning Engineer (MLE) Location: Alpharetta, GA. Type: Full-time Overview: We are seeking ...
... such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver ... Machine Learning Engineer (MLE) Location: Alpharetta, GA. Type: Full-time Overview: We are seeking ...
Data Engineer
Atlanta, GA · On-site
$100K - $130K/yr
... machine learning. * Design, implement, and support scalable data infrastructure solutions to ... Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series. * Strong SQL skills with ...
Data Engineer
Atlanta, GA · On-site
$100K - $130K/yr
... machine learning. * Design, implement, and support scalable data infrastructure solutions to ... Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series. * Strong SQL skills with ...
Data Engineer
Atlanta, GA · On-site
$100K - $130K/yr
... machine learning. * Design, implement, and support scalable data infrastructure solutions to ... Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series. * Strong SQL skills with ...
Data Engineer
Atlanta, GA · On-site
$100K - $130K/yr
... machine learning. * Design, implement, and support scalable data infrastructure solutions to ... Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series. * Strong SQL skills with ...
Data Engineer
Atlanta, GA · On-site
$100K - $130K/yr
... machine learning. * Design, implement, and support scalable data infrastructure solutions to ... Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series. * Strong SQL skills with ...
Data Engineer
Atlanta, GA · On-site
$100K - $130K/yr
... machine learning. * Design, implement, and support scalable data infrastructure solutions to ... Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series. * Strong SQL skills with ...
AI Engineer
Atlanta, GA · On-site +1
Architect and implement solutions using AWS services , including Amazon Bedrock and AgentCore ... Apply machine learning and data analysis techniques to improve model performance * Assist in fine ...
AI Engineer
Atlanta, GA · On-site +1
Architect and implement solutions using AWS services , including Amazon Bedrock and AgentCore ... Apply machine learning and data analysis techniques to improve model performance * Assist in fine ...
... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Experience working across OCI and at least one additional cloud platform, including Amazon Web ...
... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Experience working across OCI and at least one additional cloud platform, including Amazon Web ...
Java Engineer
Atlanta, GA · On-site
$49.75 - $68.25/hr
Ubuntu, CentOS/RHEL, Amazon Linux Microsoft Windows z/OS Tandem/HP-Nonstop Database - Design ... Machine Learning - Python, R, Matlab, Tensorflow, DMTK
Java Engineer
Atlanta, GA · On-site
$49.75 - $68.25/hr
Ubuntu, CentOS/RHEL, Amazon Linux Microsoft Windows z/OS Tandem/HP-Nonstop Database - Design ... Machine Learning - Python, R, Matlab, Tensorflow, DMTK
... with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic ...
... with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic ...
... with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic ...
... with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic ...
... machine learning (ML), software development, project management, SAP, and enterprise resource ... such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver ...
... machine learning (ML), software development, project management, SAP, and enterprise resource ... such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver ...
Big Data Developer- Q123
Alpharetta, GA · On-site
$54.50 - $72/hr
... machine learning (ML), software development, project management, SAP, and enterprise resource ... such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver ...
Big Data Developer- Q123
Alpharetta, GA · On-site
$54.50 - $72/hr
... machine learning (ML), software development, project management, SAP, and enterprise resource ... such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver ...
Big Data Developer- Q123
Alpharetta, GA · On-site
$51.75 - $67/hr
... machine learning (ML), software development, project management, SAP, and enterprise resource ... such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver ...
Big Data Developer- Q123
Alpharetta, GA · On-site
$51.75 - $67/hr
... machine learning (ML), software development, project management, SAP, and enterprise resource ... such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver ...
Amazon Machine Learning information
See Georgia salary details
$21.5K - $26.3K
5% of jobs
$27.9K is the 25th percentile. Wages below this are outliers.
$26.3K - $31.1K
59% of jobs
$31.1K - $35.9K
9% of jobs
$36.3K is the 75th percentile. Wages above this are outliers.
$35.9K - $40.7K
17% of jobs
$40.7K - $45.5K
4% of jobs
$45.5K - $50.3K
2% of jobs
$50.3K - $55.1K
3% of jobs
$55.1K - $59.9K
0% of jobs
$59.9K - $64.7K
0% of jobs
$64.7K - $69.5K
0% of jobs
$69.5K - $74.3K
0% of jobs
$21.5K
$36K
$74.3K
How much do amazon machine learning jobs pay per year?
What types of projects and daily tasks can I expect in an Amazon Machine Learning position?
As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.
What are the key skills and qualifications needed to thrive in the Amazon Machine Learning position, and why are they important?
To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.
What is an Amazon Machine Learning job?
An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.
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Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.
Recruiting for this role ends on 06/30/2026.
Work you'll do
As a Consultant, Cyber Defense & Resilience, Security Operations on the Cyber Defense & Resilience Security Operations team, you will be responsible for...
- Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
- Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support
- Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
- Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
- Preparing analyses, client deliverables, and recommendations while collaborating with cross-functional stakeholders and project team members
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.
Qualifications
Required:
- 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
- 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
- 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
- Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
- Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
- Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
- Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
- Experience parsing and normalizing cyber or information technology telemetry datasets
- Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
- Experience with Apache Kafka, Storm, or Spark
- Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
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.
Our people and culture
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.
Our purpose
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.
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 & Touche LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.
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.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers
Requisition code: 350424
Job ID 350424