Applied Scientist, Ops Tech Solutions
Applied Scientist, Ops Tech Solutions
Posted on :
07-07-2025
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1 Vacancy
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Job Description
At 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 Amazons global Operations.
The OTS DataTech team drives enterprise data strategy and support across OTS. Our charter encompasses OTS-wide efforts including Data as a Product (DaaP) enterprise data infrastructure AI/ML capability and supporting specific business-critical programs fueling 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 machine learning solutions within the realms of supervised and unsupervised learning Generative AI (GenAI) and optimization.
Key job responsibilities
In this role you will play a pivotal role in shaping the vision roadmap design development and implementation of science based solutions from beginning to end.
- You will contribute to building and maintaining an MLOps Platform that will support end-to-end scientific operations for a wide range of AI/ML use cases. You will be responsible for the seamless integration of scientific products with existing systems ultimately leading to increased operational efficiency and productivity across OTS.
- You will also have the opportunity to leverage our foundational GenAI platform to help OTS customers build GenAI applications for their use cases.
- You will be closely partnering with a cross-functional team of stakeholders including with Applied Scientists Data Scientists Machine Learning Engineers Data Engineers Product Managers and Technical Program Managers.
Come join OTS DataTech as we continue to innovate and pioneer the AI/ML space within OTS!
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment.
The benefits that generally apply to regular full-time employees include:
- Medical Dental and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you!
At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
- MS or PhD in quantitative field (CS CE ML preferred) or equivalent relevant work 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 and its applications.
- Proficiency in programming languages such as Python Java or C.
- Strong communication skills both written and verbal.
- Experience with fine-tuning and deploying Large Language Models (LLMs) for customer facing GenAI applications.
- Experience with Infrastructure as Code (IaC) and AWS Cloud Development Kit (CDK).
- Experience with containerization and orchestration technologies (e.g. Docker Kubernetes Airflow)
- Experience with MLOps tools and frameworks (e.g. SageMaker MLflow).
- Experience with ML frameworks (e.g. PyTorch TensorFlow) and application development frameworks (e.g. LangChain).
- Experience with big data technologies (e.g. Hadoop Spark).
- Knowledge of RAG and its applications.
- Experience with AWS technologies.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
The OTS DataTech team drives enterprise data strategy and support across OTS. Our charter encompasses OTS-wide efforts including Data as a Product (DaaP) enterprise data infrastructure AI/ML capability and supporting specific business-critical programs fueling 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 machine learning solutions within the realms of supervised and unsupervised learning Generative AI (GenAI) and optimization.
Key job responsibilities
In this role you will play a pivotal role in shaping the vision roadmap design development and implementation of science based solutions from beginning to end.
- You will contribute to building and maintaining an MLOps Platform that will support end-to-end scientific operations for a wide range of AI/ML use cases. You will be responsible for the seamless integration of scientific products with existing systems ultimately leading to increased operational efficiency and productivity across OTS.
- You will also have the opportunity to leverage our foundational GenAI platform to help OTS customers build GenAI applications for their use cases.
- You will be closely partnering with a cross-functional team of stakeholders including with Applied Scientists Data Scientists Machine Learning Engineers Data Engineers Product Managers and Technical Program Managers.
Come join OTS DataTech as we continue to innovate and pioneer the AI/ML space within OTS!
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment.
The benefits that generally apply to regular full-time employees include:
- Medical Dental and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you!
At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
- MS or PhD in quantitative field (CS CE ML preferred) or equivalent relevant work 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 and its applications.
- Proficiency in programming languages such as Python Java or C.
- Strong communication skills both written and verbal.
- Experience with fine-tuning and deploying Large Language Models (LLMs) for customer facing GenAI applications.
- Experience with Infrastructure as Code (IaC) and AWS Cloud Development Kit (CDK).
- Experience with containerization and orchestration technologies (e.g. Docker Kubernetes Airflow)
- Experience with MLOps tools and frameworks (e.g. SageMaker MLflow).
- Experience with ML frameworks (e.g. PyTorch TensorFlow) and application development frameworks (e.g. LangChain).
- Experience with big data technologies (e.g. Hadoop Spark).
- Knowledge of RAG and its applications.
- Experience with AWS technologies.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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