Associate Data Scientist - AI, ML, DL

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 enterprises' 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 and developing a variety of AI solutions. 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.

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 requirements 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 working with a team to deliver AI/ML/DL projects from beginning to end, including understanding business requirements, developing architecture, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
· Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models.
· Use SparkML and Amazon Machine Learning (AML) to help our customers build ML models.
· Use Lex to develop Conversational User Interface (CUI)
· Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.
· Work with our Professional Services DevOps consultants to help our customers operationalize models after they are built.
· Assist customers with identifying model drift and retraining models.

Desired profile

BASIC QUALIFICATIONS

· A Bachelor's Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
· 1+ years of industry experience
· Expertise in one or more functional programming languages (Python, R, etc.)
· Knowledge of SparkML
· Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
· Knowledge of SQL
· Familiarity with using data visualization tools
· Experience giving data presentations
· Ability to travel to client locations to deliver professional services when needed