Asurion
Overview
Machine Learning Engineer II at Asurion. Asurion is seeking a Machine Learning Engineer to join our Data Science team. Individuals in this role design and drive 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, as well as optimizing existing deployments to help reduce costs and improve runtime performance. Responsibilities
Work with various internal partners to design, build and bring ML & AI solution ideas to life Embed in multi-disciplinary teams in creating quick prototypes and testing concepts Own end-to-end machine learning (ML) engineering processes including data collection, cleaning, preprocessing, monitor model training, prototyping, and production deployment 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 our platform using cloud technologies Serve as a liaison between analytics & technology teams to support business & product functions with innovative AI solutions 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 team members 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 a high degree of autonomy in a direct support relationship to primary customers Required Skills/Experience
Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Electronics Engineering, or related field 2+ years’ experience in a similar role with hands-on experience implementing AI/ML solutions using Python, JavaScript, R, Git Strong communication skills and ability to explain software concepts clearly; a collaborative 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 and Cloud experience to provision development and deployment environments Familiarity with containerizing processes with Docker Ability to abstract and containerize ML prototypes into reusable building blocks Familiarity with container orchestration (ECS, Docker Swarm, and/or Kubernetes) Ability to write and execute moderate to complex SQL queries and integrate 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 good testing practices Front-end or visualization work and DevOps experience Note: THIS JOB DESCRIPTION IS NOT DESIGNED TO COVER OR CONTAIN A COMPREHENSIVE LISTING OF ACTIVITIES, DUTIES OR RESPONSIBILITIES. DUTIES MAY CHANGE AT ANY TIME. ASURION provides equal employment opportunities to all employees and applicants for employment 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: IT Services and IT Consulting Location: Nashville, TN Salary: Nashville, TN $100,000.00-$135,000.00
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Machine Learning Engineer II at Asurion. Asurion is seeking a Machine Learning Engineer to join our Data Science team. Individuals in this role design and drive 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, as well as optimizing existing deployments to help reduce costs and improve runtime performance. Responsibilities
Work with various internal partners to design, build and bring ML & AI solution ideas to life Embed in multi-disciplinary teams in creating quick prototypes and testing concepts Own end-to-end machine learning (ML) engineering processes including data collection, cleaning, preprocessing, monitor model training, prototyping, and production deployment 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 our platform using cloud technologies Serve as a liaison between analytics & technology teams to support business & product functions with innovative AI solutions 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 team members 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 a high degree of autonomy in a direct support relationship to primary customers Required Skills/Experience
Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Electronics Engineering, or related field 2+ years’ experience in a similar role with hands-on experience implementing AI/ML solutions using Python, JavaScript, R, Git Strong communication skills and ability to explain software concepts clearly; a collaborative 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 and Cloud experience to provision development and deployment environments Familiarity with containerizing processes with Docker Ability to abstract and containerize ML prototypes into reusable building blocks Familiarity with container orchestration (ECS, Docker Swarm, and/or Kubernetes) Ability to write and execute moderate to complex SQL queries and integrate 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 good testing practices Front-end or visualization work and DevOps experience Note: THIS JOB DESCRIPTION IS NOT DESIGNED TO COVER OR CONTAIN A COMPREHENSIVE LISTING OF ACTIVITIES, DUTIES OR RESPONSIBILITIES. DUTIES MAY CHANGE AT ANY TIME. ASURION provides equal employment opportunities to all employees and applicants for employment 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: IT Services and IT Consulting Location: Nashville, TN Salary: Nashville, TN $100,000.00-$135,000.00
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