Excited 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)?
Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology?
Join AFT Tech Team in Bangalore and be part of developing large-scale, distributed systems which optimize the fulfillment of customer orders.
Interface with the physical world including conveyors & robots, and most importantly your systems and Models will be used by thousands of associates to delight millions of customers.
This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies and Amazon tools.
This is an opportunity to think big about how to optimize AFT inbound data and create new cost effective opportunities / solutions.
You will deliver tens of millions of dollars for Customers and Amazon annually through these analytical insights. You will work closely with product and technical leaders across AFT teams.
The ideal candidate will have extensive experience in Science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes.
Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer those questions.
You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges.
Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus.
This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.
A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.
Major responsibilities include :
Helping to build production systems that take inputs from multiple models and make decisions in real time.
Deliver ML / DL projects 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.
Utilizing Amazon systems and tools to effectively work with terabytes of data.
Use SparkML and Amazon Machine Learning (AML) to help build ML models.
Masters in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
7+ years of industry experience in predictive modeling, data science and analysis
Previous experience in a ML or data scientist role and a track record of building ML or DL models
Experience using Python and / or R
Knowledge of SparkML
Able to write production level code, which is well-written and explainable
Experience using ML libraries, such as scikit-learn
Experience working with GPUs to develop models
Experience handling terabyte size datasets
Track record of diving into data to discover hidden patterns
Familiarity with using data visualization tools
Knowledge and experience of writing and tuning SQL
Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
Experience giving data presentations
Strong written and verbal communication skills
Masters / PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
8+ years of industry experience in predictive modeling and analysis Good skills with programming languages, such as Java or C / C++
Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Track record of helping customers with their AI needs
Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals / conferences
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