Asurion
Overview
Asurion helps people stay connected. As the global leader of connected life services, we provide millions of consumers with technology guidance, support, and device protection. We operate 24/7, speak six languages, and work across any device, platform, or provider. For more information about Asurion, visit
www.asurion.com . About the Role
Asurion is seeking a Machine Learning Engineer to join our Data Science team. This role designs and drives the ideation and creation of new data products and analytical capabilities embedded in multiple business applications. They will assist with the creation and deployment of AI and Machine Learning processes and services at scale, and optimize existing deployments to reduce costs and improve runtime performance. Essential Functions
Work with internal partners to design, build and bring ML & AI solution ideas to life. Embed in multi-disciplinary teams to create quick prototypes and test concepts. Own end-to-end ML engineering processes including data collection, cleaning, preprocessing, model training, prototyping, and production deployment. Implement page designs in standards-compliant HTML, CSS and JavaScript; write automated functional tests for web pages. Write server-side code for web-based and SOA applications, create robust high-volume production applications, and develop prototypes quickly. Automate deployment and management of the platform using cloud technologies. Serve as liaison between analytics & technology teams to support business & product functions with AI solutions, including developing and deploying models. Codify common analytics/data science tasks into Python & R packages and/or Docker containers. Continuously improve ML task automation pipeline to enable rapid data product delivery. Serve as ML framework ambassador, teaching framework fundamentals and driving adoption. Implement CI/CD deployment standards and policies. Document and refactor code base as needed. Develop and support internal libraries when an external library is not available or permitted. Operate with autonomy in direct support relationships to primary customers and meet requirements with minimal oversight. Required Skills/Experience
Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, Electrical/Electronics Engineering, or related field. 2+ years’ experience in a similar role with hands-on track record of implementing AI/ML solutions using Python, JavaScript, R, git. Strong communication skills; ability to explain what is required to build and deliver software products; team player. UX experience such as wireframes and prototyping methods. Knowledge of full or micro stack Python web development frameworks (Flask, Django, Bottle, Tornado). Linux, Cloud experience to provision development/deployment instances. Familiarity with containerizing processes with Docker. Ability to abstract and containerize ML prototypes into reusable building blocks. Familiarity managing & orchestrating container deployment (ECS, Docker Swarm and/or Kubernetes). Ability to write and execute moderate to complex SQL queries; work with disparate data sources. Understanding of NLP, Computer Vision, or deep learning libraries and platforms (TensorFlow, Keras). AWS experience preferred. Preferred Skills/Experience
Experience in a commercial environment as a software engineer or relevant role. Proven track record of building complex applications, handling complex data, and delivering quality code with testing. Additional consideration for candidates with published front-end or visualization work and DevOps experience. Note:
This job description is not exhaustive of duties and responsibilities and may be amended at any time. Equal Employment Opportunity: Asurion provides equal opportunities to all employees and applicants and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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Asurion helps people stay connected. As the global leader of connected life services, we provide millions of consumers with technology guidance, support, and device protection. We operate 24/7, speak six languages, and work across any device, platform, or provider. For more information about Asurion, visit
www.asurion.com . About the Role
Asurion is seeking a Machine Learning Engineer to join our Data Science team. This role designs and drives the ideation and creation of new data products and analytical capabilities embedded in multiple business applications. They will assist with the creation and deployment of AI and Machine Learning processes and services at scale, and optimize existing deployments to reduce costs and improve runtime performance. Essential Functions
Work with internal partners to design, build and bring ML & AI solution ideas to life. Embed in multi-disciplinary teams to create quick prototypes and test concepts. Own end-to-end ML engineering processes including data collection, cleaning, preprocessing, model training, prototyping, and production deployment. Implement page designs in standards-compliant HTML, CSS and JavaScript; write automated functional tests for web pages. Write server-side code for web-based and SOA applications, create robust high-volume production applications, and develop prototypes quickly. Automate deployment and management of the platform using cloud technologies. Serve as liaison between analytics & technology teams to support business & product functions with AI solutions, including developing and deploying models. Codify common analytics/data science tasks into Python & R packages and/or Docker containers. Continuously improve ML task automation pipeline to enable rapid data product delivery. Serve as ML framework ambassador, teaching framework fundamentals and driving adoption. Implement CI/CD deployment standards and policies. Document and refactor code base as needed. Develop and support internal libraries when an external library is not available or permitted. Operate with autonomy in direct support relationships to primary customers and meet requirements with minimal oversight. Required Skills/Experience
Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, Electrical/Electronics Engineering, or related field. 2+ years’ experience in a similar role with hands-on track record of implementing AI/ML solutions using Python, JavaScript, R, git. Strong communication skills; ability to explain what is required to build and deliver software products; team player. UX experience such as wireframes and prototyping methods. Knowledge of full or micro stack Python web development frameworks (Flask, Django, Bottle, Tornado). Linux, Cloud experience to provision development/deployment instances. Familiarity with containerizing processes with Docker. Ability to abstract and containerize ML prototypes into reusable building blocks. Familiarity managing & orchestrating container deployment (ECS, Docker Swarm and/or Kubernetes). Ability to write and execute moderate to complex SQL queries; work with disparate data sources. Understanding of NLP, Computer Vision, or deep learning libraries and platforms (TensorFlow, Keras). AWS experience preferred. Preferred Skills/Experience
Experience in a commercial environment as a software engineer or relevant role. Proven track record of building complex applications, handling complex data, and delivering quality code with testing. Additional consideration for candidates with published front-end or visualization work and DevOps experience. Note:
This job description is not exhaustive of duties and responsibilities and may be amended at any time. Equal Employment Opportunity: Asurion provides equal opportunities to all employees and applicants and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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