Amazon
Applied Scientist, OTS DataTech Science
Amazon, Austin, Texas, us, 78716
Job ID: 2683950 | Amazon.com Services LLCAt OpsTech Solutions (OTS), we are a technology centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure and device scaffolding that empowers and protects Amazon’s global Operations.
The OTS DataTech team drives enterprise data strategy and support across OTS. Our charter encompasses OTS-wide efforts, including AI/ML capability to fuel innovation and automation for OTS.
We are looking for a passionate, talented, and innovative Applied Scientist with a background in developing and implementing state-of-the-art Generative AI (GenAI) solutions. In this role, you will play a pivotal role in shaping the vision, roadmap, design, development and implementation of science and software based solutions from beginning to end.
Key job responsibilitiesAs an Applied Scientist in the DataTech team, you will build foundational GenAI components that will enable our customers to build GenAI applications for their use cases across OTS. You will enable the seamless integration of scientific products with new and existing systems, ultimately leading to increased operational efficiency and productivity across OTS.
You will also work on projects involving supervised and unsupervised learning, NLP, and more.
Come join OTS DataTech as we continue to innovate and pioneer the AI/ML space within OTS!
BASIC QUALIFICATIONS- MS or PhD in quantitative field (CS, CE, ML preferred) or equivalent relevant work experience.- Strong background in machine learning, including supervised and unsupervised learning algorithms.- Experience developing, building and implementing complex software systems, especially involving ML, that have been successfully delivered to customers.- Knowledge of Generative AI (GenAI) and its applications.- Proficiency in programming languages such as Python, Java, or C++.- Strong communication skills, both written and verbal.
PREFERRED QUALIFICATIONS- Experience with fine-tuning and deploying Large Language Models (LLMs) for customer facing applications.- Knowledge of RAG and its applications.- Experience with AWS technologies.
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.
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The OTS DataTech team drives enterprise data strategy and support across OTS. Our charter encompasses OTS-wide efforts, including AI/ML capability to fuel innovation and automation for OTS.
We are looking for a passionate, talented, and innovative Applied Scientist with a background in developing and implementing state-of-the-art Generative AI (GenAI) solutions. In this role, you will play a pivotal role in shaping the vision, roadmap, design, development and implementation of science and software based solutions from beginning to end.
Key job responsibilitiesAs an Applied Scientist in the DataTech team, you will build foundational GenAI components that will enable our customers to build GenAI applications for their use cases across OTS. You will enable the seamless integration of scientific products with new and existing systems, ultimately leading to increased operational efficiency and productivity across OTS.
You will also work on projects involving supervised and unsupervised learning, NLP, and more.
Come join OTS DataTech as we continue to innovate and pioneer the AI/ML space within OTS!
BASIC QUALIFICATIONS- MS or PhD in quantitative field (CS, CE, ML preferred) or equivalent relevant work experience.- Strong background in machine learning, including supervised and unsupervised learning algorithms.- Experience developing, building and implementing complex software systems, especially involving ML, that have been successfully delivered to customers.- Knowledge of Generative AI (GenAI) and its applications.- Proficiency in programming languages such as Python, Java, or C++.- Strong communication skills, both written and verbal.
PREFERRED QUALIFICATIONS- Experience with fine-tuning and deploying Large Language Models (LLMs) for customer facing applications.- Knowledge of RAG and its applications.- Experience with AWS technologies.
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.
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