Machine Learning Engineer

Job description

DESCRIPTION

Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises 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?

At Amazon Web Services (AWS), we are helping large enterprises 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. Our Professional Services organization works together with our AWS customers to address their business needs using AI.

AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. 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.

In our Global Specialist Practice, you will also have the opportunity to create white papers, write blog posts, build demos and other reusable collateral that can be used by our customers, and you will work closely with our Solution Architects and Service Engineering teams.

A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include:

· Understand the customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances .
· Assist customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
· Work with our Professional Services Big Data/Analytics consultants to analyze, extract, normalize, and label relevant data.
· Work with our Professional Services consultants and customer teams to help our customers operationalize models after they are built.
· Assist customers with identifying model drift and retraining models.
· Research and implement novel ML and DL approaches, including using FPGA.

This is a customer facing role. You will be required to travel to client locations and deliver professional services when needed.

PREFERRED QUALIFICATIONS

· Experience in data modeling, ETL development, and Data warehousing.
· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
· Data Warehousing Experience with Oracle, Redshift, etc
· Experience with software coding practices is a strong plus.
· Experience using Linux/UNIX to process large data sets
· Meets/exceeds Amazon’s functional/technical depth and complexity for this role
· Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR
· Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
· Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Desired profile

BASIC QUALIFICATIONS

· B.S. degree in mathematics, statistics, computer science or a similar quantitative field
· 5+ years work experience in relevant field
· Experience in using SQL to analyze data in a database or data warehouse and be able to use a major programming (e.g. Java/C) and/or a scripting language (Perl, Unix shell, Python) to process data for modeling
· Experience working with a wide range of predictive and decision models and data mining techniques, as well as tools for developing such models