The Machine Learning Ops Developer develops and supports complex, high-performance Machine-Learning batch processing code written in Python and using key open-source technologies, such as XGBoost, Ray, Pandas, and Numpy. The system that they support is used to generate insights and identify actionable interventions to improve Charter's business results, in particular focused on service quality and reliability. They will be responsible for enhancements, new features, ongoing upkeep, and in general the overall reliability and performance of the regularly scheduled batch processing. A successful candidate will be driven to self-learn and expand skill sets, a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and an ability to work effectively with cross-functional teams.

• Development, troubleshooting, and maintenance of a system that performs high-volume batch model-training and inference, and the required terminal (begin and end) data flows
• Understand the overall processing logic and rules, so that one can design and build enhancements and diagnose and fix issues; the successful candidate will need to not only understand the technology, but also be able to perform analysis / design on the machine-learning and quantitative calculations
• Orchestrate processing on AWS, in particular EC2 GPU servers, to coordinate batch job scheduling and the commensurate startup / shutdown of AWS resources
• Develop and maintain written documentation of the system processing flow and algorithms
• Work closely with IT, Architecture, Business Analysts and ETL Developers across the BI organization so that technical and process interactions occur efficiently
• Quickly iterate and prototype on key business initiatives to arrive at a finished product that aligns with end user expectations
• Educate end users on the functionality of products developed and document those products for future reference
• Coach and mentor junior developers on the team
• Perform other duties as requested

• Expert-level Python skills, focused on back-end batch data processing: development, OO design, debugging, performance profiling and optimization
• Advanced-level skills in at least some (2+) of these libraries: XGBoost, SHAP, Pandas, Numpy
• Interest and ability to quickly and independently self-learn
• Advanced-level skills with Docker images, containers, and builds
• Advanced-level skills developing and debugging bash / shell scripts
• Advanced-level skills with SQL, able to develop and debug high-volume aggregation, join, and nested queries
• Experienced with using GIT or GIT-like systems to manage source code
• Experienced with professional-level Dev Ops procedures, preferably in a cloud / container environment
• Familiarity with mathematics and statistics such as algebra, proportions, and basic statistics
• Proficient in interacting with a Linux / Unix system via shell commands
• Familiar with navigating and using AWS EC2 cloud resources. Administration / configuration skills not required
• Demonstrated knowledge of the role data governance plays in business intelligence

• Proven written communication and oral presentation skills
• Ability to communicate with all levels of management and company personnel
• Ability to handle multiple projects and tasks
• Ability to make decisions and solve problems while working under pressure
• Ability to prioritize and organize effectively
• Ability to show judgment and initiative and to accomplish job duties
• Thorough knowledge of the of Microsoft Office Suite (Word, Excel, Visio, MS Project, etc.)
• Ability to work with others to resolve problems, handle requests or situations
• Ability to transform business requirements into a technical solution
• Desire to grow/learn/succeed
• Meticulous attention to detail

• Redshift SQL and navigation
• Performance analysis and design of high-performance parallel processing systems: Synchronization, race conditions, deadlocks, critical sections, workload balancing
• Experience and skill with compute clusters, in particular the http://ray.io cluster manager
• Experience working with Telecom/Cable MSO data and applications
• Experience working with Tableau