Full TimeStamford, ConnecticutPosted 10/21/2024Business unit: Corporate-CCLAreas of interest: Business IntelligenceRequisition Number: 2024-42223-1BBL334
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 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
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 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
Soft skills:
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
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
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
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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