Machine Learning Ops Developer IV

Posted 2 Days Ago
Be an Early Applicant
Stamford, CT
Senior level
Information Technology • Internet of Things • Mobile • On-Demand • Software
The growth of our industry and evolving technology powers our employees’ careers as they move up or around the company.
The Role
The Machine Learning Ops Developer IV is responsible for developing and supporting high-performance machine learning batch processing code using Python and various libraries. They handle system enhancements, troubleshoot issues, and orchestrate processing on AWS while ensuring performance and reliability. Additionally, they mentor junior developers and collaborate with cross-functional teams on business initiatives.
Summary Generated by Built In

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
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 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


Preferred Education
Masters degree in Computer Science, Engineering, Statistics, or Analytics
WORKING CONDITIONS
Office environment
BBL334 2024-42223 2024
Here, employees don't just have jobs, they build careers. That's why we believe in offering a comprehensive package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
Get to Know Us Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet®, TV, Mobile and Voice, Spectrum Networks, Spectrum Enterprise and Spectrum Reach. When you join us, you're joining a strong community of more than 100,000 individuals working together to serve nearly 32 million customers in 41 states and keep them connected to what matters most.
Who You Are Matters Here We're committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets.

Top Skills

Python

What the Team is Saying

Eilisa
Stephanie
Raquenel
Mary
The Company
Stamford, CT
93,000 Employees
On-site Workplace
Year Founded: 1993

What We Do

Our Product and Technology team creates, develops, and operates the nation’s fastest mobile service, most reliable internet service, most viewed live TV app, and the most advanced WiFi, serving nearly 100 million users and 500 million devices. We are transforming the next era of connectivity and entertainment experiences together.
 
The diversity of experience available within Spectrum’s Product and Technology team is unmatched and there are opportunities to grow your career as a designer, architect, engineer, developer, operator, or data scientist.  We are creative, disciplined, hard-working, complex-problem solvers that believe in collaborating to deliver the highest quality customer experience.

Why Work With Us

At Spectrum, we continually refine technology, process, and structure. We are committed to delivering a superior network infrastructure, the most competitive products, and highly rated customer experiences. Our talented team of experts deploys technology solutions and builds systems and tools for our employees to provide exceptional operations.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Spectrum Teams

Team
Inside Spectrum's Product and Tech
About our Teams

Spectrum Offices

OnSite Workspace

Typical time on-site: None
Stamford, CT

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account