Dev Ops Engineer Ii - Machine Learning Job in Amazon

DESCRIPTION

Interested in Alexa AI? Were building the AI & ML based language solutions behind Amazon Echo and other Amazon products and services. Come join us!

The Applied Modeling and Data Science team is seeking a talented, self-directed System Development Engineer to join a team owning a wide array of highly impactful Natural Language Understanding applications in every language, providing thousands of customers the ability to interact with Alexa in the most natural way possible.

Key Responsibilities:
Responsible for building automated solutions for the Build, Test and Release of production ready NLU (natural language understanding) models.
Work closely with Research Scientists, Data Scientists & Product Managers to investigate design approaches, evaluate technical feasibility & implement production ready AI & ML solutions leveraging recent advances in Deep Learning, Cloud Infrastructure and automated DevOps pipelines.
Responsible for on-call duties during peak and non-peak hours, deploying fixes, and handling high-sev issues with Research Scientists
Work in an Agile/Scrum environment to deliver high quality software against tight schedules.

BASIC QUALIFICATIONS

Bachelor's Degree in Computer Science or related field
3+ years of hands on experience in software development, including design, implementation, debugging, and support, building scalable system software and/or Services
Ability to program to solve problems and automate repetitive tasks in a common scripting or programming language such as Python, Perl, Java, or Ruby with. a solid understanding of the UNIX/Linux operating systems
Proven ability to troubleshoot, problem solve and identify the root cause(s) with skill and passion for operational excellence.
Shows interest in improving self-service tools and effectiveness.
Detail-oriented with a high degree of organization with excellent verbal, and written communication skills.
Comfortable with ambiguity, prioritizing needs, and delivering measurable results in a dynamic environment working across multiple teams and organization

PREFERRED QUALIFICATIONS

Systems Engineering experience in a large, distributed environment.
Track record of building and delivering mission critical, 24x7 production software systems.
Expertise in prototyping and scripting languages (R, Perl or Python) with applications of efficient large-scale data analysis in a complicated system.
Experience with statistical modelling / machine learning with a willingness to be an early adopter of emerging ML and big data applications.
Fundamental Computer Science knowledge, including experience in applying common algorithms, data structures and design patterns.
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Amazon is an Equal Opportunity Employer Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation