Senior AI/ML Engineer - AI Live Operations
About The Position
As a Senior AI/ML Engineer on Verizon’s AI Live Operations team, you will apply advanced expertise in data science, system orchestration, and software engineering to maintain the stability, safety, and efficiency of deployed artificial intelligence models. This is a key individual contributor role responsible for the health of machine learning systems exposed to real-world data and production traffic. Verizon is working to industrialize its data science and AI capabilities, using AI across company decisions and business processes. In this role, you will help build and scale production AI systems in telecommunications, supporting a transition from millions of automated predictions to trillions of real-time inferences. You will monitor and maintain production models, build observability and evaluation systems, implement safety controls and fallbacks, and automate model deployment and updates. You will also help resolve production incidents, scale backend architectures across cloud, on-premises, and edge environments, and work with engineering and data science peers to advance secure and ethical AI practices.
Requirements
- Bachelor’s degree or four or more years of work experience.
- Four or more years of relevant experience, demonstrated through work and/or military experience or specialized training.
Nice To Haves
- Master’s degree in computer science, data science, electrical engineering, mathematics, or another highly technical discipline.
- Hands-on experience deploying, monitoring, and debugging complex machine learning or deep learning models in large-scale production environments.
- Practical familiarity with MLOps frameworks and automated pipeline tools, including Airflow, Kubeflow, or MLflow.
- Advanced programming expertise in Python, Java, or C++, with a strong grasp of data structures and cloud systems such as AWS, Google Cloud, or Azure.
- Experience developing safety guardrail middleware, system monitoring dashboards, and telemetry systems for Generative AI applications.
- Knowledge of distributed compute architectures, database design, and real-time streaming technologies such as Kafka or Spark.
Responsibilities
- Build and maintain real-time monitoring and observability pipelines to track system throughput, latency, and large language model token consumption costs.
- Monitor production model behavior for data drift and model degradation, maintaining predictive accuracy over time.
- Implement automated continuous evaluation loops using user feedback and ground-truth telemetry to assess performance dynamically.
- Deploy real-time safety filters, system guardrails, and input/output moderators to mitigate hallucinations and inappropriate content generation.
- Integrate fallback systems that route failures to traditional rule-based software or human queues to preserve the end-user experience.
- Develop automated continuous integration and continuous deployment pipelines to retrain, validate, and release updated models without downtime.
- Resolve production model incidents as a senior escalation contact by diagnosing live-model issues and shipping hotfixes or prompt adjustments.
- Collaborate with platform architects and core data science teams to scale backend architectures across cloud, on-premises, and edge network infrastructures.
- Partner with engineering and development teams to foster technical alignment, conduct code reviews, and champion secure, ethical AI standards.
- Mentor junior team members and share technical knowledge across the engineering community.
Benefits
- Medical, dental, and vision coverage
- Short- and long-term disability insurance
- Basic and supplemental life insurance
- AD&D insurance
- Identity theft protection
- Pet insurance
- Group home and auto insurance
- Matched 401(k) savings plan
- Up to 8 company-paid holidays per year
- Up to 6 personal days per year
- Paid parental leave
- Adoption assistance
- Tuition assistance
- Other incentives
- Potential premium pay, such as overtime, shift differential, holiday pay, and allowances, depending on the role
- Up to 15 days of vacation per year for newly hired employees, increasing with additional service
- Award-winning total rewards package
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What This Job Offers
Job Type
Full-time
Career Level
Senior
