Verizon
Verizon
Verizon — сымсыз байланыс, кең жолақты интернет, мобильді байланыс, үй интернеті және корпоративтік желі қызметтері арқылы тұтынушылар мен бизнеске қызмет көрсететін АҚШ-тың ірі телекоммуникациялық компаниясы. Компанияның ауқымды қызметі тұтынушылардың байланыс қажеттіліктерін, бизнес желілерін, 5G технологиясын және желілік инфрақұрылымды қамтиды. Мұнда технология, инженерия, бөлшек сауда және қаржы салаларында мансап мүмкіндіктері бар. Verizon адамдар мен ұйымдарды өздері сүйенетін қызметтермен байланыстыруға ұмтыла отырып, қызметкерлердің дамуына және корпоративтік жауапкершілікке де мән береді.

Senior Distinguished Engineer, Machine Learning and AI

Lead agentic AI, large language model, and propensity modeling work for Verizon’s telecom customers. Improve personalization and customer retention through production machine learning operations.

Сипаттама

  • Lead development and refinement of agentic AI, LLM, and machine learning and deep learning solutions.
  • Build, train, and deploy propensity models that forecast customer behavior, churn risk, and lifecycle events.
  • Unify overlapping propensity models around a shared view of customer state.
  • Run model pipelines from advanced feature engineering through deployment and production monitoring.
  • Advise as a subject matter expert in agentic development, machine learning, and predictive modeling.
  • Guide and mentor junior data scientists on technical work.
  • Manage the lifecycle of models used in high-impact applications.
  • Improve model accuracy and measurable business outcomes over time.
  • Share model findings, performance measures, and strategic recommendations with senior leaders and cross-functional partners.
  • Help Verizon move to a modern, agile pod-based operating model.
  • Enable customer microsegmentation and tailored engagement across lifecycle touchpoints.
  • Help marketers improve customer journeys and reduce churn in key segments.

Талаптар

  • Bachelor’s degree or at least six years of relevant work experience.
  • At least eight years of relevant experience gained through professional work or military service.
  • Experience delivering high-priority or highly visible technical initiatives in a corporate environment.
  • Experience designing and evaluating A/B tests or uplift models for audience targeting.
  • Strong command of machine learning and deep learning methods, including transformers, transfer learning, and natural language processing.
  • Proficiency with PyTorch and scikit-learn.
  • Knowledge of probability calibration and time-based validation.
  • Experience using Python, R, and SQL for advanced statistical modeling and large-scale data extraction.
  • Experience with cloud platforms such as Google Cloud Platform, AWS, or Azure.
  • Experience with production MLOps tools for tracking and maintaining model workflows.
  • Additional experience with LLM agent architectures, Google ADK, LangChain or LangGraph, multi-agent orchestration, RAG, MCP or A2A protocols, ONNX-based embeddings, vector databases, or semantic search is advantageous.
  • Additional experience with cloud-scale data engineering, BigQuery pipelines, GCP Cloud Run, or Vertex AI is advantageous.

Артықшылықтар

  • Medical, dental, and vision coverage.
  • Short- and long-term disability coverage.
  • Basic and supplemental life insurance.
  • Accidental death and dismemberment insurance.
  • Identity theft protection.
  • Pet insurance.
  • Group home and auto insurance.
  • 401(k) plan with company matching.
  • Up to eight company-paid holidays annually.
  • Up to six personal days annually.
  • Paid parental leave.
  • Adoption assistance.
  • Tuition assistance.
  • Premium pay opportunities, including overtime, shift differentials, holiday pay, and allowances.
  • New hires may receive up to 15 vacation days per year, with additional days based on length of service.
  • Other incentives.
  • Hybrid work arrangement.

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