HTML, JavaScript, Java Programming, Design of Experiment, Python Programming, Database, SQL, AWS, Machine learning techniques, Perl Programming, MATLAB Programming, NoSQL, Bash scripting, ETL frameworks
Job summary
Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help public sector customers derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? As a Data Machine Learning Consultant in AWS ProServe India LLP (‘ProServe India’), we are helping internal customers build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a WWPS Professional Service office. We’re looking for top architects, system and software engineers capable of using ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
About the team
Public Sector Professional Services (AWS Professional Services) lead Government, education, non-profits, and healthcare organizations; and their IT providers through their cloud adoption journey and help them achieve their desired business outcomes through AWS leadership and technical expertise. AWS Professional Services optimize the customers' model, reduce risk, and shorten customers' time to value via scientific breakthroughs, creating a broader reach to constituents, and producing productivity benefits, allowing for them to focus on their core missions.
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).
Canberra ACT, Australia
2-4 year
Sydney NSW, Australia
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year