If you have experience with AI, including building ML or DL models, we d like to have you join our team as our AI / ML specialized Technical Trainer.
You will get to work with an innovative company, with great teammates, and have a lot of fun helping our enterprise customers.
You ll have an opportunity to combine a passion for teaching, with enthusiasm for technology, to drive learning and establish positive customer relationships.
Here's an opportunity to,
Constantly learn and master the most innovative technologies related to cloud computing using AWS product and services.
Deliver training programs in startups to transform their workforce by embedding confidence to use AWS technologies
Strategically engage with various customers business functions and IT organizations to create customer-tailored training plans jointly with AWS Training Business Development Managers and Sales Managers
Partner with AWS internal AWS Support Engineers, Technical Account Managers and Solutions Architects to understand customer challenges, identify customers pain points &
deliver impactful training sessions
Dive deep and build a domain expertise in Startups that focus on Fintech, Healthcare, Media, Aviation, Gaming and others
Create a global impact through development of curriculum for cutting-edge and innovative technologies released by AWS product and service teams
Get hands-on with training & certification internal projects that improve processes that contributes to productivity gains and business performance improvements
Be the AWS advocate at customer facing events such as AWS re : Invent, AWSome Days, AWS Summits and AWS Customer Appreciation Nights
Excel in an area of depth and build subject matter expertise in Architecture, DevOps, Big Data, Deep Learning.
If this position excites you, please submit your resume using the link below and include a cover letter outlining your motivation, experience and why you want to join our team!
3+ years of experience in predictive modeling, data science and analysis, programming (e.g. Python), data architecture.
Experience in handling large datasets and familiarity with data visualization tools
Excellent oral presentation skills, interpersonal communication, and writing skills.
A strong stage presence and ability to manage a classroom of adult learners.
Experience working within the Enterprise software market or Internet industries is highly desired.
Ability to travel as required. Knowledge and experience of experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Knowledge and experience of SparkML, Python, and / or R
Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to build DL models
Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR