... Amazon Web Services (AWS), including Elastic Compute Cloud (EC2), Lambda, Glue, Elastic MapReduce (EMR), CloudWatch, Redshift, and Aurora; artificial intelligence and machine learning frameworks ...
... Amazon Web Services (AWS), including Elastic Compute Cloud (EC2), Lambda, Glue, Elastic MapReduce (EMR), CloudWatch, Redshift, and Aurora; artificial intelligence and machine learning frameworks ...
... Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as ... Support the design and development of a new collection of AI and Machine Learning vehicle routing ...
... Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as ... Support the design and development of a new collection of AI and Machine Learning vehicle routing ...
... Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as ... Support the design and development of a new collection of AI and Machine Learning vehicle routing ...
Quick apply
... Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as ... Support the design and development of a new collection of AI and Machine Learning vehicle routing ...
... Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as ... Support the design and development of a new collection of AI and Machine Learning vehicle routing ...
... Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as ... Support the design and development of a new collection of AI and Machine Learning vehicle routing ...
We are seeking a Sr Package Layout Engineer to lead the end-to-end physical design of advanced IC packages for next-generation machine learning and data center ASICs. In this role, you will own the ...
We are seeking a Sr Package Layout Engineer to lead the end-to-end physical design of advanced IC packages for next-generation machine learning and data center ASICs. In this role, you will own the ...
We are seeking a Sr Package Layout Engineer to lead the end-to-end physical design of advanced IC packages for next-generation machine learning and data center ASICs. In this role, you will own the ...
We are seeking a Sr Package Layout Engineer to lead the end-to-end physical design of advanced IC packages for next-generation machine learning and data center ASICs. In this role, you will own the ...
Principal Application Security Architect
Tempe, AZ · Hybrid
$153K - $255K/yr
Securing machine learning models against adversarial attacks, ensuring data privacy in AI training ... Amazon GuardDuty. * Working knowledge of Terraform, Cloud Formation, Pulumi, and/or Ansible.
Principal Application Security Architect
Tempe, AZ · Hybrid
$153K - $255K/yr
Securing machine learning models against adversarial attacks, ensuring data privacy in AI training ... Amazon GuardDuty. * Working knowledge of Terraform, Cloud Formation, Pulumi, and/or Ansible.
One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform The wage range for this role takes into account the wide range ...
One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform The wage range for this role takes into account the wide range ...
... machine learning and data center ASICs. In this role, you will own the package layout from initial ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...
... machine learning and data center ASICs. In this role, you will own the package layout from initial ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...
Sr. Java Developer - AVP
Tempe, AZ · Hybrid
$54.75 - $70/hr
Cloud experience, preferably in Amazon Web Services (AWS). * Experience with virtualization, containerization and serverless computing. * Integration of Machine Learning libraries and frameworks to ...
Sr. Java Developer - AVP
Tempe, AZ · Hybrid
$54.75 - $70/hr
Cloud experience, preferably in Amazon Web Services (AWS). * Experience with virtualization, containerization and serverless computing. * Integration of Machine Learning libraries and frameworks to ...
... machine learning and artificial intelligence (AI) platforms to increase profitability, catalyze ... Amazon Web Services, Google Cloud Platform, Microsoft Azure, Databricks) * Deploying dynamically ...
... machine learning and artificial intelligence (AI) platforms to increase profitability, catalyze ... Amazon Web Services, Google Cloud Platform, Microsoft Azure, Databricks) * Deploying dynamically ...
Sr. Java Developer - AVP
Tempe, AZ · Hybrid
$54.75 - $70/hr
Cloud experience, preferably in Amazon Web Services (AWS). * Experience with virtualization, containerization and serverless computing. * Integration of Machine Learning libraries and frameworks to ...
Sr. Java Developer - AVP
Tempe, AZ · Hybrid
$54.75 - $70/hr
Cloud experience, preferably in Amazon Web Services (AWS). * Experience with virtualization, containerization and serverless computing. * Integration of Machine Learning libraries and frameworks to ...
Associate Office Manager
Scottsdale, AZ · On-site
We maintain an entrepreneurial spirit, where creativity, innovative problem-solving, and learning ... Maintains office kitchen and break areas, including coffee machines, Bevi machine, refrigerator ...
Associate Office Manager
Scottsdale, AZ · On-site
We maintain an entrepreneurial spirit, where creativity, innovative problem-solving, and learning ... Maintains office kitchen and break areas, including coffee machines, Bevi machine, refrigerator ...
Amazon Machine Learning information
See Arizona salary details
$23.8K - $29.1K
5% of jobs
$30.8K is the 25th percentile. Wages below this are outliers.
$29.1K - $34.4K
59% of jobs
$34.4K - $39.6K
9% of jobs
$40.1K is the 75th percentile. Wages above this are outliers.
$39.6K - $44.9K
17% of jobs
$44.9K - $50.2K
4% of jobs
$50.2K - $55.5K
2% of jobs
$55.5K - $60.8K
3% of jobs
$60.8K - $66.1K
0% of jobs
$66.1K - $71.4K
0% of jobs
$71.4K - $76.7K
0% of jobs
$76.7K - $82K
0% of jobs
$23.8K
$39.7K
$82K
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.
Other
Re-posted 7 days ago
Deloitte rating
8.1
Based on 90 frontline employees who took The Breakroom Quiz
60th of 148 rated financial services
Job description
Are you a passionate Product Manager with a proven track record of delivering exceptional product support? Do you thrive in a fast-paced environment where innovation, cutting-edge AI solutions, and customer satisfaction are paramount? If so, we have an exciting opportunity for you!
At Deloitte we're not just building products; we're building relationships and pioneering the next generation of intelligent, resilient systems. We believe that exceptional product support is the cornerstone of a successful product lifecycle, and we're looking for a driven individual to lead our product support and strategy. This isn't just about resolving issues; it's about proactively anticipating customer needs, leveraging AI agents to transform how we deliver value, shaping product development based on real-world feedback, and fostering a culture of continuous improvement and operational excellence.
Work you'll do
As a Manager, Product Strategy and Management on the Global Employer Services technology team, you will be responsible for:
- Define and evolve product strategy, roadmap, and priorities for technology offerings that support global workforce, mobility, business travel, and remote working needs.
- Translate client, business, regulatory, risk, and control requirements into product requirements, user stories, and release plans.
- Partner with engineering, design, go-to-market, and subject matter teams to deliver cloud-based, compliance-focused, and intelligent product enhancements and new capabilities.
- Lead product lifecycle activities, including discovery, prioritization, testing, launch planning, incident management, root cause analysis, and performance monitoring.
- Support delivery of reporting, integration, and automation capabilities using AWS services, AI and machine learning tools, large language models, and structured data formats.
A successful candidate would possess these skills:
- 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 mentor and provide clear guidance to others
The team
At Deloitte Tax LLP, our Global Employer Services professionals help multinational clients develop programs, processes, and digital offerings to manage a global workforce and the compliance obligations arising from global mobility, business travel and remote working. People within our technology group come from a diverse background - they partner with our go-to-market teams and global clients to solve challenging problems and design experiences and products that anticipate what our Deloitte clients will want and solutions that keep them compliant with global and local regulations.
Qualifications
Required:
- Bachelor's degree in Management Information Systems, business technology, Computer Science, Information Systems, Engineering, or a quantitative field
- 5+ years of experience in product strategy, product management, product development, or risk evaluation and control
- Proven experience translating business or regulatory requirements into product requirements, roadmaps, or release plans; working with cross-functional teams that include technology, design, and business stakeholders; and using Agile or Scrum delivery methods and product lifecycle management tools
- Proven experience with Amazon Web Services (AWS), including Elastic Compute Cloud (EC2), Lambda, Glue, Elastic MapReduce (EMR), CloudWatch, Redshift, and Aurora; artificial intelligence and machine learning frameworks; large language models; and autonomous agentic systems or intelligent automation solutions
- Proven experience with incident management, root cause analysis methodologies, resilience patterns, SQL Server Reporting Services (SSRS), Extensible Markup Language (XML), and JavaScript Object Notation (JSON); ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2-3 days per week
- One active accreditation in one of the following:
- Licensed Certified Public Accountant (CPA) in state of practice or primary office, if eligible to sit for the CPA examination.
- if not CPA eligible,
- Licensed Attorney
- Enrolled Agent
- AWS Certified Solutions Architect
- Certified Information Systems Security Professional (CISSP)
- Certified SAFe Agile Software Engineer
- Certified SAFe DevOps Practitioner
- ISTQB (International Software Testing Qualifications Board)
- Microsoft Azure certification
- Microsoft Certified Solutions Developer (MCSD)
- Oracle Certified Professional
- Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Business Administration, Computer Science, Engineering, or Information Systems
- Experience supporting products used for global mobility, business travel, remote work, or workforce compliance
- Experience defining product metrics, key performance indicators, and success criteria
- Experience leading product initiatives across global stakeholder groups
- Experience with data analysis, reporting, or dashboarding tools
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $226,125.
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.
Are you a passionate Product Manager with a proven track record of delivering exceptional product support? Do you thrive in a fast-paced environment where innovation, cutting-edge AI solutions, and customer satisfaction are paramount? If so, we have an exciting opportunity for you!
At Deloitte we're not just building products; we're building relationships and pioneering the next generation of intelligent, resilient systems. We believe that exceptional product support is the cornerstone of a successful product lifecycle, and we're looking for a driven individual to lead our product support and strategy. This isn't just about resolving issues; it's about proactively anticipating customer needs, leveraging AI agents to transform how we deliver value, shaping product development based on real-world feedback, and fostering a culture of continuous improvement and operational excellence.
Work you'll do
As a Manager, Product Strategy and Management on the Global Employer Services technology team, you will be responsible for:
- Define and evolve product strategy, roadmap, and priorities for technology offerings that support global workforce, mobility, business travel, and remote working needs.
- Translate client, business, regulatory, risk, and control requirements into product requirements, user stories, and release plans.
- Partner with engineering, design, go-to-market, and subject matter teams to deliver cloud-based, compliance-focused, and intelligent product enhancements and new capabilities.
- Lead product lifecycle activities, including discovery, prioritization, testing, launch planning, incident management, root cause analysis, and performance monitoring.
- Support delivery of reporting, integration, and automation capabilities using AWS services, AI and machine learning tools, large language models, and structured data formats.
A successful candidate would possess these skills:
- 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 mentor and provide clear guidance to others
The team
At Deloitte Tax LLP, our Global Employer Services professionals help multinational clients develop programs, processes, and digital offerings to manage a global workforce and the compliance obligations arising from global mobility, business travel and remote working. People within our technology group come from a diverse background - they partner with our go-to-market teams and global clients to solve challenging problems and design experiences and products that anticipate what our Deloitte clients will want and solutions that keep them compliant with global and local regulations.
Qualifications
Required:
- Bachelor's degree in Management Information Systems, business technology, Computer Science, Information Systems, Engineering, or a quantitative field
- 5+ years of experience in product strategy, product management, product development, or risk evaluation and control
- Proven experience translating business or regulatory requirements into product requirements, roadmaps, or release plans; working with cross-functional teams that include technology, design, and business stakeholders; and using Agile or Scrum delivery methods and product lifecycle management tools
- Proven experience with Amazon Web Services (AWS), including Elastic Compute Cloud (EC2), Lambda, Glue, Elastic MapReduce (EMR), CloudWatch, Redshift, and Aurora; artificial intelligence and machine learning frameworks; large language models; and autonomous agentic systems or intelligent automation solutions
- Proven experience with incident management, root cause analysis methodologies, resilience patterns, SQL Server Reporting Services (SSRS), Extensible Markup Language (XML), and JavaScript Object Notation (JSON); ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2-3 days per week
- One active accreditation in one of the following:
- Licensed Certified Public Accountant (CPA) in state of practice or primary office, if eligible to sit for the CPA examination.
- if not CPA eligible,
- Licensed Attorney
- Enrolled Agent
- AWS Certified Solutions Architect
- Certified Information Systems Security Professional (CISSP)
- Certified SAFe Agile Software Engineer
- Certified SAFe DevOps Practitioner
- ISTQB (International Software Testing Qualifications Board)
- Microsoft Azure certification
- Microsoft Certified Solutions Developer (MCSD)
- Oracle Certified Professional
- Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Business Administration, Computer Science, Engineering, or Information Systems
- Experience supporting products used for global mobility, business travel, remote work, or workforce compliance
- Experience defining product metrics, key performance indicators, and success criteria
- Experience leading product initiatives across global stakeholder groups
- Experience with data analysis, reporting, or dashboarding tools
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $226,125.
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.