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PwC
PwC
H1B vīzas sponsorsFinansesKonsultācijasSaaS
PwC ir globāls profesionālo pakalpojumu tīkls, kas specializējas revīzijā, apliecinājuma pakalpojumos, konsultācijās un nodokļu jautājumos. Tā komandas sadarbojas ar finanšu pakalpojumu, tehnoloģiju, plašsaziņas līdzekļu, telekomunikāciju un citu nozaru organizācijām, risinot tādus jautājumus kā kiberdrošība, uzņēmējdarbības pārveide, ilgtspēja un plašākas biznesa konsultāciju vajadzības. PwC darbojas 157 valstīs, un tās komandā ir vairāk nekā 276 000 cilvēku. PwC apvieno nozares zināšanas ar specializētiem risinājumiem, kas izstrādāti, lai palīdzētu klientiem radīt un aizsargāt vērtību.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisCAKalifornijaCTKonektikutaILIlinoisaMAMasačūsetsaMIMičiganaNJŅūdžersijaNYŅujorkaPAPensilvānijaTXTeksasa
99 000 $ – 252 450 $ / gads
KlātienēPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
Python

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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