Professional Services III
Amazon, New York, NY, United States
Employer: Amazon Web Services, Inc.
Position: Professional Services III AMZ13646.11 (multiple positions available)
Location: New York, New York
Multiple Positions Available:
1.\tLeverage Big Data, AppDev, or DevOps experience and apply it to stateof-the-art technologies in Machine Learning and Artificial Intelligence.
2.\tBuild software solutions.
3.\tWork closely with teams of Data Scientists and Data Engineers.
4.\tCollaborate with our Data Scientists to deliver ground-breaking solutions for customers.
5.\tExpose to modern Machine Learning best practices and delivering AWS solutions in this high-demand field.
6.\tUtilize familiarity with cloud solutions and DevOps.
7.\tWork with a team of data scientists to build end to end solutions.
8.\tCreate reliable, scalable, and high-performance ML / Al solutions.
9.\tUtilize Machine Learning Experience: ML frameworks, ML algorithms (understanding of classification, regression, clustering, embedding, NLP, and computer vision)
10.\tUtilize Software Development Experience: scripting languages (Python, R), database languages (SQL, PL/SQL, PG-PUSQL), version control (GitHub, Bitbucket, AWS Code Commit, data structures, algorithms).
11.\tUtilize Architecture experience: data pipelines, distributed computing engines.
12.\tSupport efforts in the Enterprise, loT, and start-up communities.
13.\tDomestic or international travel up to 50% to perform role responsibilities may be required
(40 hours / week, 8:00am-5:00pm, Salary Range $169,000/year to $228,600/year /year)
Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
BASIC QUALIFICATIONS
Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, or a related field and 3 years of experience in the job offered or a related occupation.
Experience must include:
1) 3 years of experience with ML algorithms, training models, hyperparameter tuning, distributed model training, hosting and deployment of models, ML pipelines (able to whiteboard common components if ML pipelines)
2) 3 years of Data Visualization experience: Python/R frameworks such as matplotlib, seaborn, ploty, ggplot2; JavaScript frameworks such as D3
3) 3 years of experience with Python (NumPy, SciPy, Pandas, SciKitlearn, TensorFlow/PyTorch/MXNet)
4) 3 years of Machine Learning experience: supervised learning (regression), supervised learning (classification)
The pay range for this position in New York, New York is $169,000/year to $228,600/year; however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by New York, New York Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
PREFERRED QUALIFICATIONS
All applicants must meet all the above listed requirements.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Position: Professional Services III AMZ13646.11 (multiple positions available)
Location: New York, New York
Multiple Positions Available:
1.\tLeverage Big Data, AppDev, or DevOps experience and apply it to stateof-the-art technologies in Machine Learning and Artificial Intelligence.
2.\tBuild software solutions.
3.\tWork closely with teams of Data Scientists and Data Engineers.
4.\tCollaborate with our Data Scientists to deliver ground-breaking solutions for customers.
5.\tExpose to modern Machine Learning best practices and delivering AWS solutions in this high-demand field.
6.\tUtilize familiarity with cloud solutions and DevOps.
7.\tWork with a team of data scientists to build end to end solutions.
8.\tCreate reliable, scalable, and high-performance ML / Al solutions.
9.\tUtilize Machine Learning Experience: ML frameworks, ML algorithms (understanding of classification, regression, clustering, embedding, NLP, and computer vision)
10.\tUtilize Software Development Experience: scripting languages (Python, R), database languages (SQL, PL/SQL, PG-PUSQL), version control (GitHub, Bitbucket, AWS Code Commit, data structures, algorithms).
11.\tUtilize Architecture experience: data pipelines, distributed computing engines.
12.\tSupport efforts in the Enterprise, loT, and start-up communities.
13.\tDomestic or international travel up to 50% to perform role responsibilities may be required
(40 hours / week, 8:00am-5:00pm, Salary Range $169,000/year to $228,600/year /year)
Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
BASIC QUALIFICATIONS
Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, or a related field and 3 years of experience in the job offered or a related occupation.
Experience must include:
1) 3 years of experience with ML algorithms, training models, hyperparameter tuning, distributed model training, hosting and deployment of models, ML pipelines (able to whiteboard common components if ML pipelines)
2) 3 years of Data Visualization experience: Python/R frameworks such as matplotlib, seaborn, ploty, ggplot2; JavaScript frameworks such as D3
3) 3 years of experience with Python (NumPy, SciPy, Pandas, SciKitlearn, TensorFlow/PyTorch/MXNet)
4) 3 years of Machine Learning experience: supervised learning (regression), supervised learning (classification)
The pay range for this position in New York, New York is $169,000/year to $228,600/year; however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by New York, New York Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
PREFERRED QUALIFICATIONS
All applicants must meet all the above listed requirements.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.