Principal Engineer I - AI/ML/Operational Intelligence

This posting has been extended beyond the initial anticipated closing date.

Join us in enhancing operations and customer experience through automated, data-driven decision making and real-time monitoring using machine learning and AI.

This role combines advanced development skills with a customer-centric approach to build and expand cutting-edge AIOps capabilities.

We're seeking a talented developer with expertise in machine learning and AI to architect and implement solutions such as automated self-healing systems, data ingestion pipelines, intelligent monitoring frameworks, and data analytics capabilities.

As our platform evolves, your expertise in software engineering and AI / ML will drive continuous feature development and deployment.

Check all associated application documentation thoroughly before clicking on the apply button at the bottom of this description.

DUTIES AND RESPONSIBILITIES

• Develop, deploy, and leverage Artificial Intelligence (AI) and Machine Learning (ML) to continuously improve Network Operations.
• Define, develop, and deploy orchestration methods and components, leveraging both AI / ML platforms and customized external automation, to drive consistent self-healing within the environment.
• Designs, develops, and implements self-healing capabilities, data acquisition and enrichment methods, and integrations with external systems.
• Identifies new technologies and processes to take analytics, touchless actioning, causation, and digital fingerprinting to the next level.
• Designs, implements, operates, enhances, and troubleshoots systems in assigned areas.
• Identify and engage key engineers across the organization to drive shared accountability and alignment for ingesting, tuning, and realizing the benefit of AI / ML alerting.
• Interact with Product and Operations groups to understand business needs, communicate status, deliver value, and develop relationships to ensure flawless implementation and satisfaction.
• Actively and consistently supports all efforts to simplify and enhance the customer experience.
• Creates insights, processes, and information that is valued by the business.
• Participates in visualization design and deployment reviews to ensure technical and functional adherence.

BASIC / MINIMUM REQUIREMENTS

• Bachelor's degree in computer science or engineering or related field or related work experience
• Minimum five (5) years of Application Development / AI-ML experience
• Minimum five (5) years of Application / System / Database Administration experience
• Minimum five (5) years of System Engineering work experience

REQUIRED JOB QUALIFICATIONS

• Good communication skills
• Enjoy working on loosely defined problems
• Mentors and guides both junior and senior engineers
• Understanding of large-scale architecture and system integration.
• Proficient in multiple programming languages (Python, Javascript, Go, etc.) and ready to learn more
• Experience with AI / ML and predictive analytics, including working with or exposure to large learning models and generative AI.
• Ability to perform data analysis to drive predictions.
• Strong data analysis skills with the ability to identify, create, and interpret key performance indicators (KPIs)
• Experience working with structured & unstructured data.
• Exposed to operational analytic or service assurance platforms.
• Familiarity with automation tools like Ansible and self-healing or orchestration tools.
• Exposure to cloud-based tools such as AWS and Azure.
• Experienced with validation of new platform releases.
• Self-motivating and able to work with minimal supervision.
• Ability to read, write and speak the English language to communicate with employees, customers, suppliers, in person, on the phone, and by written communications in a clear, straightforward, and professional manner.
• Ability to conduct design sessions to specify solution designs for feasibility, cost, and functionality, and create detailed documentation for new and existing applications.
• Ability to follow and implement established change and control policies and procedures.
• Ability to troubleshoot application problems.
• Basic knowledge of OSS applications and software.

PREFERRED QUALIFICATIONS

• Knowledge of company products and services
• Masters degree in computer science or engineering

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