Professional Services III AMZ13646.13

Requirements

• 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:
• 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)
• 3 years of Data Visualization experience: Python/R frameworks such as matplotlib, seaborn, ploty, ggplot2; JavaScript frameworks such as D3
• 3 years of experience with Python (NumPy, SciPy, Pandas, SciKitlearn, TensorFlow/PyTorch/MXNet)
• 3 years of Machine Learning experience: supervised learning (regression), supervised learning (classification)
• 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.

Additional Information

Employer: Amazon Web Services, Inc. Position: Professional Services III AMZ13646.13 (multiple positions available) Location: New York, New York Multiple Positions Available: 1. Leverage Big Data, AppDev, or DevOps experience and apply it to stateof-the-art technologies in Machine Learning and Artificial Intelligence. 2. Build software solutions. 3. Work closely with teams of Data Scientists and Data Engineers. 4. Collaborate with our Data Scientists to deliver ground-breaking solutions for customers. 5. Expose to modern Machine Learning best practices and delivering AWS solutions in this high-demand field. 6. Utilize familiarity with cloud solutions and DevOps. 7. Work with a team of data scientists to build end to end solutions. 8. Create reliable, scalable, and high-performance ML / Al solutions. 9. Utilize Machine Learning Experience: ML frameworks, ML algorithms (understanding of classification, regression, clustering, embedding, NLP, and computer vision) 10. Utilize 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. Utilize Architecture experience: data pipelines, distributed computing engines. 12. Support efforts in the Enterprise, loT, and start-up communities. 13. Domestic 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

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Amazon Web Services, Inc. - A97? Share your experience