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PwC
PwC
H1B vizos rėmėjasFinansaiKonsultavimasSaaS
PwC yra pasaulinis profesionalių paslaugų tinklas, daugiausia dėmesio skiriantis auditui, užtikrinimo paslaugoms, konsultavimui ir mokesčiams. Jo komandos bendradarbiauja su finansinių paslaugų, technologijų, žiniasklaidos, telekomunikacijų ir kitų sričių organizacijomis sprendžiant kibernetinio saugumo, verslo transformacijos, tvarumo bei platesnius verslo konsultavimo klausimus. PwC veikia 157 šalyse ir turi daugiau nei 276 000 darbuotojų. Bendrovė derina pramonės šakų ekspertizę su specializuotais sprendimais, padedančiais klientams kurti ir apsaugoti vertę.
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Darbai įmonėje

AI Engineer, Data Scientist, and AI Manager – PwC, New York City Onsite

Lead AI engineering and machine-learning initiatives for PwC’s Assurance practice, including solution delivery, testing, controls, and responsible deployment. Manage teams, client accounts, data infrastructure, and evaluation programs for production AI systems.

USJungtinės ValstijosCAKalifornijaCTKonektikutasILIlinojusMAMasačusetsasMIMičiganasNJNaujasis DžersisNYNiujorkasPAPensilvanijaTXTeksasas
99 000 $ – 252 450 $ / metai
Darbas vietojeVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųDuomenų inžinierius
Python

Aprašymas

  • Lead the delivery of advanced AI and machine-learning solutions.
  • Create and refine algorithms, models, and systems that enable automation and informed decisions.
  • Turn raw data into practical insights that guide business decisions and growth.
  • Direct complex data analysis and integration efforts to strengthen data quality and infrastructure.
  • Manage data models and relational database environments.
  • Develop team capability, assign work to individual strengths, and oversee performance.
  • Resolve conflicts and address sensitive issues with clients and stakeholders.
  • Maintain professional and technical standards, including the firm’s conduct code and independence rules.
  • Establish and assess tests for AI behavior, performance, resilience, bias, explainability, and failure scenarios.
  • Evaluate technical controls and supporting evidence to produce clear, defensible findings, limitations, and recommendations.
  • Build reusable evaluation tools, automated testing, reference datasets, monitoring systems, and evidence processes.
  • Lead teams and client accounts through strategic planning, coaching, and delivery management.

Reikalavimai

  • Bachelor’s degree or higher.
  • At least four years of relevant experience.
  • A background in Analytics or Data Science, Artificial Intelligence or Robotics, Computer Science or Information Systems, or Engineering is preferred.
  • Strong capability in AI implementation and advanced data analysis.
  • Proficiency with Python and programming languages used for data modeling.
  • Experience designing data infrastructure and integration strategies.
  • Knowledge of machine-learning and deep-learning methods.
  • Experience with sentiment analysis and pattern recognition for text analytics.
  • Experience leading technical teams responsible for production AI deployment, monitoring, evaluation, and incident response.
  • Ability to evaluate failure modes, bias, drift, hallucinations, explainability, and guardrails rigorously.
  • Ability to make and explain architecture trade-offs that support measurable, defensible results.
  • Experience defining, measuring, and communicating technical and business outcomes.
  • Ability to explain technical findings, limitations, and architecture decisions to clients and nontechnical stakeholders.
  • Ability to coach team members while protecting delivery quality.
  • Willingness to travel up to 20%.
  • PwC generally does not plan to sponsor candidates through the H-1B lottery, except where permitted under its stated policy.

Privalumai

  • Eligibility for an annual discretionary bonus.
  • Medical insurance coverage.
  • Dental insurance coverage.
  • Vision insurance coverage.
  • 401(k) plan.
  • Paid holidays.
  • Vacation time.
  • Personal and family sick leave.

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