Delivery Consultant - Data Analytics, Professional Services Global Competency Center The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. 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. Key job responsibilities As an experienced technology professional, you will be responsible for: Designing and implementing complex, scalable, and secure AWS Data and Analytics solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies (e.g., serverless, containers, microservices) Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it'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 (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - 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's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS Experience in cloud architecture and implementation Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience Experience in cloud architecture for Data Analytics platform and implementation, with experience in hands-on implementation with Data lake and Data Warehouse. Experience in developing software code using one or more programming languages/frameworks such as Python, Spark, SQL, etc. Experience leading large-scale full-cycle MPP enterprise Data Warehousing (EDW), Data Lake and Analytics projects PREFERRED QUALIFICATIONS AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Solutions Architect Associate, Speciality or Professional) preferred Experience with automation and scripting (e.g., Terraform, Python) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Experience with migrating mission critical data systems from one platform to another. Experience with Cloud technologies like AWS, Databricks, Azure or Google Cloud technology. 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 this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 10, 2025
Full time
Delivery Consultant - Data Analytics, Professional Services Global Competency Center The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. 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. Key job responsibilities As an experienced technology professional, you will be responsible for: Designing and implementing complex, scalable, and secure AWS Data and Analytics solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies (e.g., serverless, containers, microservices) Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it'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 (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - 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's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS Experience in cloud architecture and implementation Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience Experience in cloud architecture for Data Analytics platform and implementation, with experience in hands-on implementation with Data lake and Data Warehouse. Experience in developing software code using one or more programming languages/frameworks such as Python, Spark, SQL, etc. Experience leading large-scale full-cycle MPP enterprise Data Warehousing (EDW), Data Lake and Analytics projects PREFERRED QUALIFICATIONS AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Solutions Architect Associate, Speciality or Professional) preferred Experience with automation and scripting (e.g., Terraform, Python) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Experience with migrating mission critical data systems from one platform to another. Experience with Cloud technologies like AWS, Databricks, Azure or Google Cloud technology. 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 this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
We are looking for a highly motivated Business Intelligence Manager to join our dynamic team. You will oversee the delivery and management of a robust scalable business intelligence platform and its supporting systems to ensure that they meet the business goals of the organisation. Defining how the data will be stored, accessed, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data in some way. As part of our core values, Unimetals offers an inclusive and dynamic environment and we welcome people from a variety of different backgrounds. Your Key Responsibilities Lead the architecture, design, and development of the business intelligence platform whilst implementing/maintaining compliance with the business intelligence and analytics strategy Responsible for the training, coordination and evaluation of cross-departmental business analysts and business partners Collaborate with key stakeholders to select appropriate platforms and services to support the business intelligence strategy Interpret and co-ordinate the organisation s data needs whilst making sure that they are designed in accordance with the appropriate data architectures and strategy Define and manage the technical principles, vision, and standards for the data warehouse/data lake ensuring the design can scale to handle additional data and business demands Manage and monitor the work of vendor partner resources and the Database Administrator Maintain knowledge of external and internal data capabilities and trends, facilitating the evaluation of vendors and products including topic-specific deep dives to address business urgencies Establish and manage governance protocols to support the business intelligence strategy Continually review and monitor the integrity, security and service continuity of data systems and their dependencies Hands-on management of datasets, lifecycles, access security and policies Create documentation and presentations, lead discussions with business and technology owners Liaise with the Network Manager to ensure Disaster Recovery requirements can be met including any assigned recovery time and recovery point objectives Perform such other duties as the Company may from time to time reasonably require Comply with all Company policies related to Code of Conduct, Environmental, Health and Safety and Community About You (Key Skills/Competencies) Minimum of 5 years of working experience in a data related role Proficiency in SQL with familiarity of associated data modeling tools Deep understanding of data management fundamentals and data storage principles Understanding of systems architecture and ability to design scalable, robust systems Comprehensive understanding of distributed computing environment concepts Competency with Microsoft development tools and technologies Knowledge of data security and privacy practices Knowledge of cloud computing and experience with platforms like Amazon Web Services (AWS) or Microsoft Azure beneficial Strong analytical and problem-solving abilities Ability to communicate effectively with both technical and non-technical stakeholders
May 10, 2025
Full time
We are looking for a highly motivated Business Intelligence Manager to join our dynamic team. You will oversee the delivery and management of a robust scalable business intelligence platform and its supporting systems to ensure that they meet the business goals of the organisation. Defining how the data will be stored, accessed, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data in some way. As part of our core values, Unimetals offers an inclusive and dynamic environment and we welcome people from a variety of different backgrounds. Your Key Responsibilities Lead the architecture, design, and development of the business intelligence platform whilst implementing/maintaining compliance with the business intelligence and analytics strategy Responsible for the training, coordination and evaluation of cross-departmental business analysts and business partners Collaborate with key stakeholders to select appropriate platforms and services to support the business intelligence strategy Interpret and co-ordinate the organisation s data needs whilst making sure that they are designed in accordance with the appropriate data architectures and strategy Define and manage the technical principles, vision, and standards for the data warehouse/data lake ensuring the design can scale to handle additional data and business demands Manage and monitor the work of vendor partner resources and the Database Administrator Maintain knowledge of external and internal data capabilities and trends, facilitating the evaluation of vendors and products including topic-specific deep dives to address business urgencies Establish and manage governance protocols to support the business intelligence strategy Continually review and monitor the integrity, security and service continuity of data systems and their dependencies Hands-on management of datasets, lifecycles, access security and policies Create documentation and presentations, lead discussions with business and technology owners Liaise with the Network Manager to ensure Disaster Recovery requirements can be met including any assigned recovery time and recovery point objectives Perform such other duties as the Company may from time to time reasonably require Comply with all Company policies related to Code of Conduct, Environmental, Health and Safety and Community About You (Key Skills/Competencies) Minimum of 5 years of working experience in a data related role Proficiency in SQL with familiarity of associated data modeling tools Deep understanding of data management fundamentals and data storage principles Understanding of systems architecture and ability to design scalable, robust systems Comprehensive understanding of distributed computing environment concepts Competency with Microsoft development tools and technologies Knowledge of data security and privacy practices Knowledge of cloud computing and experience with platforms like Amazon Web Services (AWS) or Microsoft Azure beneficial Strong analytical and problem-solving abilities Ability to communicate effectively with both technical and non-technical stakeholders
Applied Scientist, EUCF L&D, EUCF L&D LEAP team DESCRIPTION Amazon EU Customer Fulfillment Learning and Development is seeking an Applied Scientist to lead the development of next-generation learning products using NLP and GenAI. In this role, you will act as the GenAI subject matter expert, working closely with scientists, business intelligence engineers, instructional designers, and other key stakeholders to create innovative learning solutions. Your contributions will directly shape the learning experiences of hundreds of thousands of Associates across Amazon Operations in the EU, making an impactful difference in their journey. Key job responsibilities Apply technical expertise to lead the development of innovative AI solutions, focusing on NLP and GenAI technologies that drive impactful learning experiences and operational improvements. Work closely with cross-functional teams, including scientists, engineers, instructional designers, and business stakeholders, to research, design, and implement AI models that address complex challenges in learning and development. Use data analysis and large-scale computing resources to understand and improve user experiences, ensuring the developed tools effectively meet the needs of the L&D team and operators. Communicate the technical solutions and their business impact to stakeholders, ensuring alignment with organizational goals and building trust through clear, data-driven results. Mentor and develop other scientists within the team, promoting technical excellence and the adoption of best practices in AI modeling and solution development. Tackle large, complex problems by designing AI models that address both current and future challenges, contributing to the creation of scalable, robust solutions for L&D and operational performance improvement. Contribute to the hiring process by identifying top talent and helping to build a high-performing team of scientists and engineers. About the team Be part of Amazon's EUCF L&D Science and Analytics team, where we blend science, strategy, and data to solve the most pressing challenges in learning and development. As a key player in a cross-functional team of scientists, program managers, and business analysts, you'll create solutions that empower hundreds of thousands of Associates in EU warehouses to learn and grow. Your work will shape Amazon's learning programs and make a lasting impact on hundreds of thousands of Amazon Associates. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in building models for business application Experience programming in Java, C++, Python or related language Strong understanding of GenAI or NLP fundamentals and passionate about the latest research in this field Proficiency in designing and implementing large-scale data pipelines, and cloud-based data infrastructure PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Hands-on experience developing and deploying NLP and GenAI applications, such as machine translations, text to text, and text to image generation Knowledge of RAG and its applications Experience with fine-tuning and deploying Large Language Models (LLMs) for learning GenAI applications Knowledge of prompt engineering Experience with AWS technologies Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.
May 09, 2025
Full time
Applied Scientist, EUCF L&D, EUCF L&D LEAP team DESCRIPTION Amazon EU Customer Fulfillment Learning and Development is seeking an Applied Scientist to lead the development of next-generation learning products using NLP and GenAI. In this role, you will act as the GenAI subject matter expert, working closely with scientists, business intelligence engineers, instructional designers, and other key stakeholders to create innovative learning solutions. Your contributions will directly shape the learning experiences of hundreds of thousands of Associates across Amazon Operations in the EU, making an impactful difference in their journey. Key job responsibilities Apply technical expertise to lead the development of innovative AI solutions, focusing on NLP and GenAI technologies that drive impactful learning experiences and operational improvements. Work closely with cross-functional teams, including scientists, engineers, instructional designers, and business stakeholders, to research, design, and implement AI models that address complex challenges in learning and development. Use data analysis and large-scale computing resources to understand and improve user experiences, ensuring the developed tools effectively meet the needs of the L&D team and operators. Communicate the technical solutions and their business impact to stakeholders, ensuring alignment with organizational goals and building trust through clear, data-driven results. Mentor and develop other scientists within the team, promoting technical excellence and the adoption of best practices in AI modeling and solution development. Tackle large, complex problems by designing AI models that address both current and future challenges, contributing to the creation of scalable, robust solutions for L&D and operational performance improvement. Contribute to the hiring process by identifying top talent and helping to build a high-performing team of scientists and engineers. About the team Be part of Amazon's EUCF L&D Science and Analytics team, where we blend science, strategy, and data to solve the most pressing challenges in learning and development. As a key player in a cross-functional team of scientists, program managers, and business analysts, you'll create solutions that empower hundreds of thousands of Associates in EU warehouses to learn and grow. Your work will shape Amazon's learning programs and make a lasting impact on hundreds of thousands of Amazon Associates. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in building models for business application Experience programming in Java, C++, Python or related language Strong understanding of GenAI or NLP fundamentals and passionate about the latest research in this field Proficiency in designing and implementing large-scale data pipelines, and cloud-based data infrastructure PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Hands-on experience developing and deploying NLP and GenAI applications, such as machine translations, text to text, and text to image generation Knowledge of RAG and its applications Experience with fine-tuning and deploying Large Language Models (LLMs) for learning GenAI applications Knowledge of prompt engineering Experience with AWS technologies Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.
Applied Scientist, EUCF L&D, EUCF L&D LEAP team Job ID: Amazon Business EU SARL (UK) - H91 Amazon EU Customer Fulfillment Learning and Development is seeking an Applied Scientist to lead the development of next-generation learning products using NLP and GenAI. In this role, you will act as the GenAI subject matter expert, working closely with scientists, business intelligence engineers, instructional designers, and other key stakeholders to create innovative learning solutions. Your contributions will directly shape the learning experiences of hundreds of thousands of Associates across Amazon Operations in the EU, making an impactful difference in their journey. Key job responsibilities Apply technical expertise to lead the development of innovative AI solutions, focusing on NLP and GenAI technologies that drive impactful learning experiences and operational improvements. Work closely with cross-functional teams, including scientists, engineers, instructional designers, and business stakeholders, to research, design, and implement AI models that address complex challenges in learning and development. Use data analysis and large-scale computing resources to understand and improve user experiences, ensuring the developed tools effectively meet the needs of the L&D team and operators. Communicate the technical solutions and their business impact to stakeholders, ensuring alignment with organizational goals and building trust through clear, data-driven results. Mentor and develop other scientists within the team, promoting technical excellence and the adoption of best practices in AI modeling and solution development. Tackle large, complex problems by designing AI models that address both current and future challenges, contributing to the creation of scalable, robust solutions for L&D and operational performance improvement. Contribute to the hiring process by identifying top talent and helping to build a high-performing team of scientists and engineers. About the team Be part of Amazon's EUCF L&D Science and Analytics team, where we blend science, strategy, and data to solve the most pressing challenges in learning and development. As a key player in a cross-functional team of scientists, program managers, and business analysts, you'll create solutions that empower hundreds of thousands of Associates in EU warehouses to learn and grow. Your work will shape Amazon's learning programs and make a lasting impact on hundreds of thousands of Amazon Associates. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field. Experience in building models for business application. Experience programming in Java, C++, Python or related language. Strong understanding of GenAI or NLP fundamentals and passionate about the latest research in this field. Proficiency in designing and implementing large-scale data pipelines, and cloud-based data infrastructure. PREFERRED QUALIFICATIONS Experience using Unix/Linux. Experience in professional software development. Hands-on experience developing and deploying NLP and GenAI applications, such as machine translations, text to text, and text to image generation. Knowledge of RAG and its applications. Experience with fine-tuning and deploying Large Language Models (LLMs) for learning GenAI applications. Knowledge of prompt engineering. Experience with AWS technologies. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
May 08, 2025
Full time
Applied Scientist, EUCF L&D, EUCF L&D LEAP team Job ID: Amazon Business EU SARL (UK) - H91 Amazon EU Customer Fulfillment Learning and Development is seeking an Applied Scientist to lead the development of next-generation learning products using NLP and GenAI. In this role, you will act as the GenAI subject matter expert, working closely with scientists, business intelligence engineers, instructional designers, and other key stakeholders to create innovative learning solutions. Your contributions will directly shape the learning experiences of hundreds of thousands of Associates across Amazon Operations in the EU, making an impactful difference in their journey. Key job responsibilities Apply technical expertise to lead the development of innovative AI solutions, focusing on NLP and GenAI technologies that drive impactful learning experiences and operational improvements. Work closely with cross-functional teams, including scientists, engineers, instructional designers, and business stakeholders, to research, design, and implement AI models that address complex challenges in learning and development. Use data analysis and large-scale computing resources to understand and improve user experiences, ensuring the developed tools effectively meet the needs of the L&D team and operators. Communicate the technical solutions and their business impact to stakeholders, ensuring alignment with organizational goals and building trust through clear, data-driven results. Mentor and develop other scientists within the team, promoting technical excellence and the adoption of best practices in AI modeling and solution development. Tackle large, complex problems by designing AI models that address both current and future challenges, contributing to the creation of scalable, robust solutions for L&D and operational performance improvement. Contribute to the hiring process by identifying top talent and helping to build a high-performing team of scientists and engineers. About the team Be part of Amazon's EUCF L&D Science and Analytics team, where we blend science, strategy, and data to solve the most pressing challenges in learning and development. As a key player in a cross-functional team of scientists, program managers, and business analysts, you'll create solutions that empower hundreds of thousands of Associates in EU warehouses to learn and grow. Your work will shape Amazon's learning programs and make a lasting impact on hundreds of thousands of Amazon Associates. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field. Experience in building models for business application. Experience programming in Java, C++, Python or related language. Strong understanding of GenAI or NLP fundamentals and passionate about the latest research in this field. Proficiency in designing and implementing large-scale data pipelines, and cloud-based data infrastructure. PREFERRED QUALIFICATIONS Experience using Unix/Linux. Experience in professional software development. Hands-on experience developing and deploying NLP and GenAI applications, such as machine translations, text to text, and text to image generation. Knowledge of RAG and its applications. Experience with fine-tuning and deploying Large Language Models (LLMs) for learning GenAI applications. Knowledge of prompt engineering. Experience with AWS technologies. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
