Qureos Mentor

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Web Services is seeking a results-driven Sr. Account-Based Marketing (ABM) Manager to design and execute high-impact ABM programs for enterprise customers within a designated field territory. This role combines strategic thinking with hands-on execution to drive measurable business outcomes through targeted marketing initiatives.<br>
<br>
This Account-Based Marketing Manager position requires expertise in the Telecommunications and Media industries to address unique sector challenges including network modernization, 5G deployment, content delivery optimization, streaming infrastructure, broadcast transformation, and media supply chain innovation. The role demands understanding of industry-specific pain points such as 5G monetization, edge computing for media, live streaming at scale, and content supply chain efficiency, along with familiarity with key industry events (NAB, MWC, IBC), technology shifts (cloud playout, virtualized networks, AI in media production), and regulatory considerations. The ideal candidate will develop messaging that resonates with technical and business decision-makers in telco operations, network engineering, media technology, broadcast operations, and content delivery roles, while demonstrating knowledge of industry-specific technologies including network virtualization, content delivery networks, media asset management, broadcast systems, and streaming platforms. This position specifically focuses on covering Telecommunications accounts, an area that has not been adequately resourced previously, requiring someone who can navigate the unique sales cycles and procurement processes common in these enterprise environments.
<br>
<br>
Key job responsibilities<br>
Key Responsibilities:<br>
<ul><li>Design and execute territory-specific ABM campaigns (1:1, 1:few) that align with global frameworks and drive measurable business impact</li><li>Build and maintain strong relationships with sales teams to understand account priorities and translate them into effective marketing programs</li><li>Analyze customer data, buying signals, and market trends to inform campaign strategy and optimization</li><li>Create and implement multi-channel programs (events, digital, direct) that deliver personalized customer experiences</li><li>Partner with regional marketing teams to ensure ABM programs complement broader field marketing efforts</li><li>Drive operational excellence through standardized processes, documentation, and best practices</li><li>Track and report on program performance, using data to optimize and scale successful approaches</li><li>Manage program budgets effectively, demonstrating frugality while maximizing impact</li><li>Collaborate with global ABM community to share learnings and adopt proven practices</li></ul><br>
A day in the life<br>
Success Measures:<br>
<ul><li>Pipeline influence and revenue contribution from ABM accounts</li><li>Account engagement metrics and program ROI</li><li>Sales team satisfaction scores</li><li>Program execution quality and timeliness</li><li>Process improvement and best practice contributions</li></ul><br>
About the team<br>
About AWS<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>7+ years of professional non-internship marketing experience</li><li>Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)</li><li>Experience building, executing and scaling cross-functional marketing programs</li><li>Experience in a business-to-business (B2B) environment, high-tech products/services</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>MBA</li><li>Experience with ABM platforms (6sense, Demandbase, etc.) and marketing analytics tools</li><li>7+ years of developing and managing acquisition marketing or channel programs experience</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 130,000.00 - 185,000.00 USD annually<br>
USA, TX, Austin - 118,200.00 - 160,000.00 USD annually<br>
USA, VA, Arlington - 118,200.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 118,200.00 - 160,000.00 USD annually</div><p></p>

Sr. Account-Based Marketing (ABM) Manager , AWS NAMER Strategic Customer and Partner Marketing

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.<br>
<br>
Come join the AWS Marketplace Team in our mission to change the way enterprise software are bought and sold! AWS Marketplace enables software sellers to reach all AWS customers; and enables software buyers to easily discover, purchase and consume software. Our goals include enriching the platform to support more diverse selection, improving buyer and seller experience and implementing new ideas to add new dimensions to the product. Our vision is to make AWS Marketplace one stop shop for buying and selling software just like Amazon.com is for retail.<br>
<br>
Key job responsibilities<br>
We are looking for an experienced Software Development Engineer to help the team take AWS Marketplace to the next level. As a Software Development Engineer on the team you will own significant portions of the product and will have significant influence on our strategy by helping define the next wave of product features and system architecture. The systems are complex and there are huge opportunities to work at all levels from the front end user experience, to a set of robust platform services, to system level pieces and everything in between. You should be somebody who enjoys working on complex system software, is customer-centric, and is passionate about building quality software as well as achieving operational excellence. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are essential.<br>
<br>
The ideal candidate will have a demonstrable track record of success delivering new features or products. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. They have strong design and implementation experience, strong knowledge of web services and protocols, and an in-depth knowledge of distributed systems architectures. Experience with asynchronous workflow systems is a plus.<br>
<br>
About the team<br>
Sales, Marketing and Global Services (SMGS)<br>
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.<br>
<br>
Diverse Experiences<br>
<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS?<br>
<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship &amp; Career Growth<br>
<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance<br>
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr SDE, AWS Marketplace

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Web Services (AWS) is looking for a Senior Solutions Architect to join our Commercial Sector Enterprise team in the UAE. You will work directly with customers in Financial Services, Retail, Travel &amp; Hospitality, and Media &mdash; organizations navigating complex digital transformations where the technology strategy is not yet defined and the right path forward requires both technical depth and business judgment.<br>
<br>
This is a builder role. You will go into customer environments, understand their hardest problems, and design solutions that work &mdash; from whiteboard architecture through proof of concept to production. You will bring deep expertise across cloud infrastructure, modern application development, data and analytics, and increasingly, generative AI and machine learning. You will earn trust by shipping things that matter, not by presenting slides.<br>
<br>
You will be part of a collaborative, supportive team that values curiosity, ownership, and impact. We learn from each other, coach and develop each other, and build an environment where every voice is heard.<br>
<br>
Key job responsibilities<br>
As a Senior Solutions Architect, you will own the technical relationship with customers end-to-end. This means:<br>
<br>
<ul><li>Partnering with enterprise customers to understand their business objectives, assess their current technology landscape, and architect cloud solutions that deliver real outcomes &mdash; in cost optimization, operational efficiency, security, reliability, and innovation.</li></ul><br>
<ul><li>Building hands-on: prototypes, proofs of concept, reference architectures, and production-ready designs. You lead by doing, not just advising.</li></ul><br>
<ul><li>Helping customers adopt and build with generative AI and machine learning &mdash; identifying high-value use cases, designing architectures for foundation models and intelligent applications, and guiding teams from experimentation to production.</li></ul><br>
<ul><li>Acting as the customer's technical advocate inside AWS &mdash; translating field insights into clear, prioritized feedback that shapes the roadmap for AWS services and features.</li></ul><br>
<ul><li>Creating and sharing technical content that scales your impact: workshops, blog posts, code samples, reference architectures, and public talks at meetups, user groups, and conferences.</li></ul><br>
<ul><li>Shaping the future of our team by helping hire, coach, and mentor fellow Solutions Architects. You make the team stronger because of your presence, but the team does not depend on your presence to succeed.</li></ul><br>
A day in the life<br>
No two days look the same. You might spend the morning whiteboarding a multi-account landing zone architecture with a financial services customer's platform team, then pivot to a hands-on working session helping a retail customer's developers integrate a foundation model into their recommendation engine. In the afternoon you might review a colleague's architecture proposal, draft a blog post on a pattern you discovered in the field, or hop on a call with an AWS service team to advocate for a feature your customer needs. You balance depth with breadth, strategic thinking with hands-on execution, and customer urgency with long-term technical direction.<br>
<br>
About the team<br>
AWS Solutions Architects in MENAT are a tight-knit team of builders and technologists who are passionate about helping customers in one of the world's fastest-growing cloud markets. We work across diverse industries and cultures, which demands adaptability, curiosity, and genuine respect for our customers' contexts. We support each other through knowledge sharing, peer reviews, and a culture of continuous learning. We believe the best ideas come from diverse perspectives, and we actively foster an inclusive environment where everyone can do their best work.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>5+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers</li><li>Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of infrastructure architecture, database architecture and networking experience</li><li>Experience working with end user or developer communities</li><li>Experience migrating or transforming legacy customer solutions to the cloud</li><li>Experience architecting/operating solutions built on AWS</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Sr. Solutions Architect, UAE CS ENT

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is seeking dedicated, multitasking, and customer obsessed individual to support two Directors of Databases Services team at AWS.<br>
<br>
This role requires superior attention to detail, the ability to meet tight deadlines, great organizational skills, and the ability to juggle multiple critical requests. A high level of integrity and discretion in handling confidential information, and professionalism in dealing with senior professionals inside and outside the company is important, as is a good sense of humor. The candidate will possess the ability to complete complex tasks and projects quickly with little to no guidance, react with appropriate urgency to situations that require a quick turnaround, and take effective action without having to know the total picture.<br>
<br>
Key job responsibilities<br>
<br>
<ul><li>Proactively coordinate and engage with leadership in planning and organizing events, activities and calendars</li><li>Management of multiple complex calendars and scheduling requirements</li><li>Acting as a liaison for direct reports</li><li>Driving key team activities (such as staff meeting agendas, all-hands meetings, supply ordering)</li><li>Tracking and helping drive completion of key deliverables
</li><li>Travel coordination for executives</li><li>Participating in planning of events</li><li>Having fun at work and helping others do the same</li><li>This position will work with other assistants throughout the Database Services and across the rest of the company</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>High school or equivalent diploma</li><li>Experience with Microsoft Office products and applications</li><li>Experience with executive level calendar management</li><li>Experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround</li><li>Experience managing multiple complex calendars, planning and organizing events of all sizes, and coordinating domestic and international travel</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in a fast-paced, high-tech company</li><li>Experience managing multiple calendars</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Redmond - 80,200.00 - 97,400.00 USD annually<br>
USA, WA, Seattle - 80,200.00 - 97,400.00 USD annually</div><p></p>

Executive Assistant I, AWS Database Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle.<br>
<br>
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, and define paths to navigate technical or business challenges. Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI solutions at scale. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.<br>
<br>
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.<br>
<br>
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph.<br>
<br>
Key job responsibilities<br>
<ul><li>Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases</li><li>Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale</li><li>Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions</li><li>Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices</li><li>Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact</li><li>Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility</li></ul><br>
About the team<br>
Diverse Experiences<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques</li><li>Experience in professional software engineering &amp; best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence</li><li>Current, active US Government Security Clearance of TS/SCI</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually<br>
USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually</div><p></p>

Machine Learning Engineer, WWPS ProServe Delivery Team

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.<br>
<br>
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle.
<br>
<br>
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, and define paths to navigate technical or business challenges. Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI solutions at scale. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
<br>
<br>
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
<br>
<br>
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance.
<br>
<br>
Key job responsibilities<br>
Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
<br>
<br>
Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
<br>
<br>
Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
<br>
<br>
Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
<br>
<br>
Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
<br>
<br>
Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility
<br>
<br>
About the team<br>
Diverse Experiences
<br>
<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS
<br>
<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
<br>
<br>
Work/Life Balance
<br>
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
<br>
<br>
Inclusive Team Culture
<br>
<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
<br>
<br>
Mentorship and Career Growth
<br>
<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience in professional software engineering &amp; best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques</li><li>Current, active US Government Security Clearance of Top Secret or above</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions</li><li>Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually<br>
USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually</div><p></p>

Machine Learning Engineer, Data & Machine Learning (DML)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance.
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The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle.
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As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, and define paths to navigate technical or business challenges. Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI solutions at scale. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
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The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
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This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance.
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Key job responsibilities<br>
Key job responsibilities
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Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
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Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
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Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
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Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
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Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
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Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility
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About the team<br>
Diverse Experiences
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Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
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Why AWS
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Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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Work/Life Balance
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We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
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Inclusive Team Culture
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Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
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Mentorship and Career Growth
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We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience in professional software engineering &amp; best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence</li><li>Current, active US Government Security Clearance of TS/SCI</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions</li><li>Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually<br>
USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually</div><p></p>

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About Company

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Machine Learning Engineer, Data & Machine Learning (DML)

Machine Learning Engineer, Data & Machine Learning (DML)