Job Openings at Amazon

DESCRIPTION

• AWS Trust & Safety (T&S) is looking for a Data Scientist who is passionate about using data to drive decisions that help improve safety across AWS services and build trust with customers and stakeholders. You'll have the opportunity to raise the bar, help in developing new systems that automatically defend against evolving threats while providing customer-facing, centralized management and visibility.
• As a Data Scientist, you will work directly with Business Analysts, Operations and Program team to monitor abuse trends on AWS worldwide and design appropriate solutions to respond in a collaborative environment. There are no walls, and success is determined by your ability to dive deep, and understand the subtle demands new and complex threats will place upon services, systems and teams.
• About the Team.
• AWS Trust & Safety (T&S) is the global team responsible for protecting AWS against a wide variety of abuse while simultaneously working to build trust with AWS’s customers and external stakeholders. Our team works to detect abuse by analyzing a variety of data and signals, and mitigate the abuse through fit-for-purpose solutions. We build trust through these efforts and our leadership on key T&S issues facing our industry. Our team members display a solid understanding of AWS’s cloud infrastructure, strong technical knowledge, and the ability to exercise sound judgment on complex and time-sensitive matters.

About the Role.
As a Data Scientist, your responsibilities will include:

•  Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful.
•  Apply state-of-the-art Machine Learning methods to large amounts of data from different sources to build and operationalize abuse prevention, detection and mitigation solutions.
•  Keep up with and contribute to the progress of the Amazon and broader ML research communities in the context of AUP violations
•  Deep dive on the problems using SQL and scripting languages like Python/R to drive short term and long term solutions leveraging Statistical Analysis.
•  Analyze data (past customer behavior, sales inputs, and other sources) to identify trends, create compromise prevention and mitigation solutions and output reports with clear recommendations.
•  Collaborate closely with the development team to recommend and build innovations based on Data Science.
•  Help with escalations from AWS Management for AUP violations, Abuse, compromise and related activities.
•  Be the primary point of contact during compromise outbreaks – including analyses to identify and apply responses.
•  Collaborate in a fast paced environment with multiple teams and customers in a dynamic entrepreneurial organization.
• The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.

BASIC QUALIFICATIONS

•  Bachelor's degree and 5 years of relevant experience
•  Algorithm and model development experience for large-scale applications
•  Proficiency in at least one of the following languages: Python/Perl, R/Matlab, Java, C/C++, Scala Problem solving ability
•  Deep understanding of Statistical Analysis, Modeling and Machine Learning techniques.
•  Hands-on professional experience with applying machine learning and other data science techniques to identify anomalous behavior patterns (e.g., user or machine anomalies) in a production environment
•  Experience with extracting, cleaning, and transforming data and working with data owners to understand the data
•  Professional experience using database languages, such as SQL, and common data scientist software development and statistical analysis tools (e.g., Python, R, Scikit-learn)
•  Ability to dive deep into complex technical problems and drive change.
•  Excellent problem solving skills with a strong attention to detail.
•  Ability to work in a fast-paced, ambiguous environment while prioritizing and managing multiple responsibilities.

PREFERRED QUALIFICATIONS

•  Master's degree and 3 years of relevant experience
•  3+ years of experience as Machine Learning Scientists, Data Scientists and/or Business Intelligence Engineers
•  Track record of implementing and deploying large scale machine learning applications and tools
•  Proficiency in model development, model validation and model implementation for large-scale applications
•  Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences
•  Experience and proficiency with AWS technologies (EC2, CloudTrail, S3, SageMaker, Lambda, DynamoDB, RDS, etc.) and Big Data technologies.
•  Demonstrated skill and passion for operational excellence.
•  1+ year of work experience in applying data science to physical security, network security, or abuse related problems

‘’Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.

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DESCRIPTION
Cloud Support Engineer – Big Data (AI / ML)

ABOUT US

Amazon Web Services is the market leader and technology forerunner in the Cloud business. As a member of the AWS Support team you will be at the forefront of this transformational technology, assisting a global list of companies and developers that are taking advantage of a growing set of services and features to run their mission-critical applications. As a Cloud Support Engineer, you will act as the ‘Cloud Ambassador’ across all the cloud products, arming our customers with required tools & tactics to get the most out of their Product and Support investment.

Would you like to use the latest cloud computing technologies? Do you have an interest in helping customers understand application architectures and integration approaches? Are you familiar with best practices for applications, servers and networks? Do you want to be part of a customer facing technology team helping to ensure the success of Amazon Web Services (AWS) as a leading technology organization?

WHAT CAN YOU EXPECT FROM A LIFE AT AWS?

Every day will bring new and exciting challenges on the job while you:

•  Learn and use groundbreaking technologies.
•  Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs.
•  Interact with leading engineers around the world.
•  Partner with Amazon Web Services teams to help reproduce and resolve customer issues.
•  Leverage your extensive customer support experience to provide feedback to internal AWS teams on how to improve our services.
•  Drive customer communication during critical events.
•  Drive projects that improve support-related processes and our customers’ technical support experience.
•  Write tutorials, how-to videos, and other technical articles for the developer community.
•  Work on critical, highly complex customer problems that may span multiple AWS services.

WHY AWS SUPPORT?

•  First and foremost, this is a customer support role – in The Cloud.
•  On a typical day, a Support Engineer will be primarily responsible for solving customer’s cases through a variety of customer contact channels which include telephone, email, and web/live chat. You will apply advanced troubleshooting techniques to provide tailored solutions for our customers and drive customer interactions by thoughtfully working with customers to dive deep into the root cause of an issue.
•  Apart from working on a broad spectrum of technical issues, an AWS Support Engineer may also coach/mentor new hires, develop & present training, partner with development teams on complex issues or contact deflection initiatives, participate in new hiring, write tools/script to help the team, or work with leadership on process improvement and strategic initiatives.
•  Career development: We promote advancement opportunities across the organization to help you meet your career goals.
•  Training: We have training programs to help you develop the skills required to be successful in your role.
•  We hire smart people who are keen to build a career with AWS, so we are more interested in the areas that you do know instead of those you haven’t been exposed to yet.
•  Support engineers interested in travel have presented training or participated in focused summits across our sites or at specific AWS events.
•  As we operate on a follow-the-sun model, with Premium Support sites located globally, there is no after hours on-call or mandated overtime in this role.

BASIC QUALIFICATIONS
AI / ML

• As a part of the AI/ML team, a Cloud Support Engineer will support customers who leverage AWS AI/ML services to build train and deploy models to solve various business problems. Helping customers to use and integrate services like Sagemaker , Personalize ,Forecast, Lex and Transcribe among others. However, we do not expect you to know all of these and we provide extensive training to successful candidates. At a minimum, you must have the following qualifications/skills to apply:

BASIC EXPERIENCE/SKILLS

•  Good depth of understanding in Machine Learning concepts, such as common ML algorithms and their uses and data preparation techniques.
•  Good understanding of Linux and Networking concepts
•  Intermediate programming/scripting skills. Ideally in Java or Python, but will consider experience in other Object Oriented and Functional languages.
•  Excellent oral and written communication skills with multi-tasking ability. Should be a self-starter who is excited about learning new technology.
•  Open to working non-standard hours (no night shifts) including a Sun-Mon or Fri-Sat weekend
•  Strong troubleshooting skills

PREFERRED QUALIFICATIONS
PREFERRED EXPERIENCE/SKILLS

•  Bachelor’s degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field
•  Intermediate to advanced expertise in Machine Learning experience: supervised learning (regression), supervised learning (classification)
•  Experience with data preparation techniques for training
•  Experience with training models, hyperparameter tuning, hosting and deployment of models
•  Good Understanding of common ML algorithms such as Linear Learner, Decision-Trees,Kmeans etc.
•  Experience with one or more ML Frameworks such as Tensorflow, Pytorch etc
•  Strong coding skills
•  Good understanding of distributed computing environments
•  Customer service experience / strong customer focus

 Experience building docker images and troubleshooting container related issues
Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity and Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.