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Verizon
Verizon
H1B vīzas sponsorsB2CTelekomunikācijasUzņēmums
Verizon ir telekomunikāciju uzņēmums, kas patērētājiem, uzņēmumiem un valsts organizācijām nodrošina bezvadu savienojumu, platjoslas internetu, optisko šķiedru tīklus un ar tiem saistītus digitālos pakalpojumus. Uzņēmuma darbība aptver mobilo un fiksēto sakaru infrastruktūru, mazumtirdzniecības un tiešsaistes kanālus, kā arī uzņēmumu komunikāciju, radot iespējas tīkla tehnoloģiju, klientu apkalpošanas, biznesa risinājumu un citu jomu speciālistiem, kuri atbalsta plaša mēroga savienojamību.
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Vakances uzņēmumā

Distinguished Machine Learning and AI Engineer

Lead development of agentic AI and propensity models at Verizon. The work supports personalized experiences, churn reduction, and customer journey optimization.

USAmerikas Savienotās ValstisNJŅūdžersijaTXTeksasa
137 000 $ – 263 000 $ / gads
HibrīdiPilna slodzeVecākais speciālistsVadošais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
AWSAzureBigQueryGoogle Cloud PlatformMākonisPythonPyTorchScikit-LearnSQL

Apraksts

  • Lead development and optimization of agentic AI, large language model, and machine learning solutions.
  • Build and deploy propensity models to forecast customer behavior, churn risk, and lifecycle events.
  • Unify overlapping propensity models into shared customer-state models.
  • Oversee model pipelines from feature engineering through production deployment and monitoring.
  • Guide teams as a subject matter expert in agentic development, machine learning, and predictive modeling.
  • Mentor junior data scientists and provide technical direction.
  • Manage high-impact models throughout their lifecycle, improving accuracy and business performance.
  • Share model findings, performance measures, and recommendations with senior leaders and business partners.
  • Help Verizon adopt a modern, agile pod-based operating model.
  • Enable customer microsegmentation, tailored experiences, journey optimization, and churn reduction.

Prasības

  • Bachelor's degree or at least six years of work experience.
  • At least eight years of relevant experience demonstrated through work or military experience.
  • Experience delivering high-priority or high-visibility technical initiatives in a corporate environment.
  • Experience designing and measuring A/B tests or uplift models for targeting.
  • Strong knowledge of machine learning and deep learning methods, including transformers, transfer learning, and natural language processing.
  • Expertise with PyTorch and scikit-learn.
  • Experience with 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.
  • Knowledge of LLM agent architecture, including Google ADK, LangChain or LangGraph, multi-agent orchestration, RAG, MCP, A2A protocols, ONNX-based embeddings, vector databases, and semantic search.
  • Knowledge of cloud-scale data engineering, including BigQuery pipelines, GCP Cloud Run, and Vertex AI.

Priekšrocības

  • Medical, dental, and vision coverage.
  • Short- and long-term disability coverage.
  • Basic life insurance.
  • Supplemental life insurance.
  • Accidental death and dismemberment coverage.
  • Identity theft protection.
  • Pet insurance.
  • Group home and auto insurance.
  • 401(k) savings plan with employer match.
  • Up to eight company-paid holidays annually.
  • Up to six personal days annually.
  • Paid parental leave.
  • Adoption assistance.
  • Tuition assistance.
  • Premium pay options, including overtime, shift differentials, holiday pay, and allowances.
  • Up to 15 vacation days in the first year for new hires, with more days based on length of service.
  • Additional incentives.
  • Award-winning total rewards package.

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