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Verizon
Verizon
B2Cउद्यमदूरसंचार
Verizon अमेरिका की एक प्रमुख दूरसंचार कंपनी है, जो वायरलेस, ब्रॉडबैंड, मोबाइल, होम इंटरनेट और उद्यम नेटवर्क सेवाओं के माध्यम से उपभोक्ताओं और व्यवसायों को सेवा प्रदान करती है। इसके बड़े पैमाने के संचालन में उपभोक्ता कनेक्टिविटी, व्यावसायिक नेटवर्किंग, 5G और नेटवर्क अवसंरचना शामिल हैं, तथा प्रौद्योगिकी, इंजीनियरिंग, रिटेल और वित्त के क्षेत्रों में करियर के अवसर उपलब्ध हैं। Verizon की भर्ती से जुड़े संदर्भ में कर्मचारी विकास और कॉर्पोरेट जिम्मेदारी पर भी ध्यान दिखाई देता है, क्योंकि कंपनी लोगों और संगठनों को उन सेवाओं से जोड़ने का काम करती है जिन पर वे निर्भर हैं।
LinkedIn
कंपनी की नौकरियाँ

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.

USसंयुक्त राज्यNJन्यू जर्सीTXटेक्सास
$1,37,000 – $2,63,000 / वर्ष
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AWSAzureBigQueryGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLक्लाउड

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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