Amazon

Professional Services III AMZ13646.13

Amazon$169K — $228K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 3 years of experience with ML algorithms and training models.
  • 3 years of experience in Data Visualization using Python/R and JavaScript frameworks.
  • 3 years of expertise in Python libraries (NumPy, SciPy, Pandas, etc.).
  • 3 years of supervised machine learning experience (both regression and classification).

Responsibilities

  • Leverage Big Data, AppDev, or DevOps experience for Machine Learning and AI technologies.
  • Build software solutions alongside a team of Data Scientists and Data Engineers.
  • Collaborate with teams to deliver innovative solutions to customers.
  • Implement modern Machine Learning practices using AWS technologies.
  • Create reliable, scalable, and high-performance Machine Learning solutions.

Benefits

  • Comprehensive medical and financial benefits offered.
  • Sign-on bonuses and restricted stock units available.
  • Opportunity for domestic or international travel up to 50%.
  • Exposure to cutting-edge technologies in a high-demand field.
Full Job Description
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)

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.

About Amazon

Audible is a provider of spoken audio information and entertainment , on the Internet. They provide premium spoken audio content, such as audio versions of books and newspapers and radio programs, that is delivered over the Internet and played back on personal computers and hand-held electronic devices. The Audible service allows consumers to purchase and download their content from their Website, store it in digital files and play it back on personal computers and electronic devices. More than 15,000 hours of audio content are available on their Web site, including audio versions of books, periodicals and radio programs. Several manufacturers have agreed to support and promote the playback of their content on their hand-held audio-enabled electronic devices.

Amazon Careers

Joining Amazon presents an unparalleled opportunity to become part of a vibrant team pushing the boundaries of innovation and growth in the global marketplace. As a leader in e-commerce, technology, and logistics, Amazon offers a variety of job opportunities that cater to a range of skills and professional interests. Work You’ll Do At Amazon, every day is an opportunity to collaborate with the brightest minds in technology and business to redefine what’s possible. Whether you’re interested in software development, marketing, human resources, or customer service, Amazon has a position waiting for you. Transform the way the world shops and innovates with our diverse and inclusive team. Amazon is not just a company; it’s a community where you can drive real change and contribute to projects impacting millions globally. Lead with Innovation and Leadership Amazon is the perfect place to enhance your leadership and innovation skills. Our culture encourages pushing the envelope and imagining the unimaginable. Here, you will lead projects that challenge the status quo and define new industry standards. Work with a team that values diversity and is committed to creating an inclusive environment. Our leadership is focused on harnessing the collective power of unique perspectives to foster growth and innovation. Explore Amazon’s Employment Benefits Amazon’s commitment to its employees extends beyond just career growth. We offer competitive benefits, including health care, parental leave, and diversity training, ensuring that our team not only excels professionally but also enjoys well-being and security. Internship and Networking Opportunities Start your career with an Amazon internship and gain hands-on experience that matters. Our internships provide a gateway to full-time employment and an opportunity to network with professionals across various sectors of the company. Future-Proof Your Career With Amazon, your career path is filled with numerous opportunities for advancement. Our learning and development programs are designed to nurture your professional growth and keep you at the forefront of industry trends. Stay Connected Join Our Team Discover the job opportunities at Amazon that match your skills and interests. We are constantly on the lookout for passionate, curious, and innovative team players ready to make a difference. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Amazon. Amazon is more than just a company—it’s a platform for building a promising future. Whether you’re starting or looking to advance your career, Amazon offers the resources, support, and network you need to succeed. Join us, and be a part of our continuing mission to be Earth's most customer-centric company.
Learn more about Amazon
Size
1,608 employees
Market Cap
$832.6 billion
Industry
Net Income
$21.3 billion
Founded
1994
5 Year Trend
+28.1%
Revenue
$386 billion
NASDAQ

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