At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description

DUTIES AND RESPONSIBILITIES:

• End to end lifecycle of Test & Learn Models - from dev to deployment-ready artifacts (BAU will be turned over to ML Ops team)

• Design and develop frameworks, standards and guidelines for model development, deployment, and monitoring

• Refactor or wrap data scientists’ code in an optimized/automated manner (production-ready)

• Refactor or wrap data scientists’ code to be served via API, web service (e.g. Flask)

• Integrate model scores to Globe systems

• Evaluate new tools and technologies that may improve the model development, deployment and monitoring

• Code Review

• Coach mid-level and junior engineers

REQUIREMENTS:

• Minimum of three (3) years experience in AI/ML engineering

• Minimum of two (2) years’ experience in SQL, ML Architecture

• Passionate about Machine Learning, Big Data and its emerging technologies

• Experience in API development is a must

• Code review and code refactoring

• Experience in ML ArchitecturE

• Knowledge on both structured and unstructured data

• Familiarity with Big Data technologies (Cloudera, Hadoop, AWS)

• Must possess core competencies, or understanding and relevant experience in:

  Adept in Pythonic scripting, shell scripting (R programming is a plus)

  Database knowledge

  NoSQL

• Familiar with most of the following disciplines--Automation, Data Science/Machine Learning/API Architecture, Agile SDLC, DevOps

• Bachelor's Degree in Computer Science/Engineering

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.