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.

MAJOR DUTIES AND RESPONSIBILITIES

Development, troubleshooting, and maintenance of a system that performs high-volume batch model-training and inference, and the required terminal (begin and end) data flowsUnderstand 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 calculationsOrchestrate processing on AWS, in particular EC2 GPU servers, to coordinate batch job scheduling and the commensurate startup / shutdown of AWS resourcesDevelop and maintain written documentation of the system processing flow and algorithmsWork closely with IT, Architecture, Business Analysts and ETL Developers across the BI organization so that technical and process interactions occur efficientlyQuickly iterate and prototype on key business initiatives to arrive at a finished product that aligns with end user expectationsEducate end users on the functionality of products developed and document those products for future referenceCoach and mentor junior developers on the teamPerform other duties as requested

REQUIRED QUALIFICATIONS

Required Skills/Abilities and Knowledge

Expert-level Python skills, focused on back-end batch data processing:  development, OO design, debugging, performance profiling and optimizationAdvanced-level skills in at least some (2+) of these libraries:  XGBoost, SHAP, Pandas, Numpy Interest and ability to quickly and independently self-learnAdvanced-level skills with Docker images, containers, and buildsAdvanced-level skills developing and debugging bash / shell scriptsAdvanced-level skills with SQL, able to develop and debug high-volume aggregation, join, and nested queriesExperienced with using GIT or GIT-like systems to manage source codeExperienced with professional-level Dev Ops procedures, preferably in a cloud / container environmentFamiliarity with mathematics and statistics such as algebra, proportions, and basic statisticsProficient in interacting with a Linux / Unix system via shell commandsFamiliar with navigating and using AWS EC2 cloud resources.  Administration / configuration skills not requiredDemonstrated knowledge of the role data governance plays in business intelligence

Soft skills:

Proven written communication and oral presentation skills Ability to communicate with all levels of management and company personnelAbility to handle multiple projects and tasksAbility to make decisions and solve problems while working under pressureAbility to prioritize and organize effectivelyAbility to show judgment and initiative and to accomplish job dutiesThorough knowledge of the of Microsoft Office Suite (Word, Excel, Visio, MS Project, etc.)Ability to work with others to resolve problems, handle requests or situationsAbility to transform business requirements into a technical solutionDesire to grow/learn/succeedMeticulous attention to detail

Required Education

Bachelor’s degree or foreign equivalent in Information Technology, or business related work experience

Required Related Work Experience and Number of Years

Python development - 7+ w/ Masters | 10+ w/o Masters

Cloud / Docker experience  - 2+ w/ Masters | 5+ w/o Masters

SQL Query Design - 7+ w/ Masters | 10+ w/o Masters

PREFERRED QUALIFICATIONS

Preferred Skills/Abilities and Knowledge

Redshift SQL and navigationPerformance analysis and design of high-performance parallel processing systems:  Synchronization, race conditions, deadlocks, critical sections, workload balancingExperience and skill with compute clusters, in particular the http://ray.io cluster managerExperience working with Telecom/Cable MSO data and applicationsExperience working with Tableau

Preferred Education

Masters degree in Computer Science, Engineering, Statistics, or Analytics

WORKING CONDITIONS

Office environment

BBL334 2024-42223 2024

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A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.


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