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Thomson Reuters
Thomson Reuters
H1B vizasi homiysiHuquqKonsaltingSug‘urta
Thomson Reuters huquqiy xizmatlar, soliq va buxgalteriya hisobi, xalqaro savdo, risklarni boshqarish, sug‘urta, konsalting va global yangiliklar sohalarida faoliyat yurituvchi mutaxassislar uchun ishonchli kontent, ma’lumotlar va texnologiyalarni ishlab chiqadi. Kompaniya portfeliga huquqiy tadqiqot platformalari, soliq va buxgalteriya dasturlari, muvofiqlik va tartibga solish vositalari, shuningdek Reuters media xizmatlari kiradi. Thomson Reuters maxsus ekspertizani generativ sun’iy intellektga kiritilayotgan investitsiyalar bilan birlashtirib, yuridik firmalar, korporatsiyalar, soliq mutaxassislari va media tashkilotlariga murakkab ma’lumotlarni boshqarish, ish jarayonlarini soddalashtirish va yanada asoslangan qarorlar qabul qilishda yordam beradi.
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Kompaniyadagi ish o‘rinlari

Senior Machine Learning Engineer, NLP and LLM – Hybrid

Build production NLP and large language model systems for Thomson Reuters legal intelligence products. Turn complex legal documents into actionable insights through scalable, reliable AI capabilities.

USAmerika Qo‘shma ShtatlariMIMichiganMNMinnesotaNYNyu-YorkTXTexas
110 000 $ – 235 000 $ / yil
GibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiNLP muhandisi
PythonPyTorchTensorFlow

Tavsif

  • Create and deploy production machine learning and large language model systems that extract useful insights from complex legal documents and data
  • Address NLP challenges involving contractual language, information extraction, model-based analysis, and document comparison
  • Design, develop, train, and deploy machine learning and LLM-powered models and systems
  • Deliver production capabilities for information extraction, text generation and summarization, AI agents, search, and document analysis
  • Create dependable, scalable pipelines for model training, evaluation, deployment, and continued production operation
  • Establish evaluation frameworks and metrics covering model quality, accuracy, reliability, drift, and potential bias
  • Improve model performance and resource efficiency through experimentation, feature engineering, model selection, and tuning
  • Convert business and product needs into machine learning solutions from initial experimentation through production scale
  • Partner with machine learning, engineering, product, legal, data, and security teams
  • Safeguard sensitive information while delivering dependable AI capabilities

Talablar

  • Master’s degree in machine learning, computer science, statistics, or a related quantitative discipline focused on machine learning or artificial intelligence
  • At least three years of professional experience in machine learning engineering, applied machine learning, research engineering, or closely related software engineering
  • Practical experience building, training, and deploying machine learning models in production
  • Strong applied knowledge of machine learning, natural language processing, and current large language model architectures
  • Experience with information extraction, text generation or summarization, AI agents, or search
  • Advanced Python programming ability
  • Hands-on experience with PyTorch or TensorFlow
  • Experience developing or fine-tuning language models or other machine learning models for specialized applications or domains
  • Experience designing and using model evaluation methods and metrics
  • Ability to turn product or business needs into machine learning solutions and explain technical decisions, trade-offs, and outcomes
  • Strong problem-solving, collaboration, and ownership capabilities
  • Preferred: PhD in machine learning, computer science, statistics, or a related quantitative discipline
  • Preferred: Experience deploying and operating ML or LLM systems at scale
  • Preferred: Background in legal technology, legal NLP, legal document analysis, or domain-specific language modeling
  • Preferred: Experience in financial services, economics, or regulated or data-sensitive industries
  • Preferred: Experience serving or self-hosting LLMs and improving computational efficiency
  • Preferred: Experience leading complex ML initiatives from research or experimentation through production with measurable results

Imtiyozlar

  • Flexible hybrid work arrangement for office-based positions
  • Work remotely from anywhere for up to eight weeks each year
  • Flexible vacation policy
  • Two company-wide mental health days off
  • Access to the Headspace app
  • Retirement savings options
  • Tuition reimbursement
  • Employee incentive programs
  • Resources supporting mental, physical, and financial wellbeing
  • Two paid volunteer days each year
  • Opportunities to participate in pro bono consulting projects
  • Health, dental, vision, disability, and life insurance programs
  • 401(k) plan with company matching
  • Paid sick and safe time off
  • Paid holidays, including two company mental health days
  • Parental leave
  • Sabbatical leave
  • Optional hospital, accident, and sickness insurance
  • Optional life and accidental death and dismemberment insurance
  • Flexible Spending Accounts and Health Savings Accounts
  • Fitness reimbursement
  • Employee Assistance Program
  • Group legal and identity theft protection benefit
  • Access to a 529 plan
  • Commuter benefits
  • Adoption and surrogacy assistance
  • Employee Stock Purchase Plan
  • Potential eligibility for an annual bonus based on enterprise and individual performance

O‘xshash ish o‘rinlari

AstraZeneca

Senior Digital Business Process and Product Lead

AstraZeneca
H1B vizasi homiysiBiotexnologiyaFarmatsevtika mahsulotlariSog‘liqni saqlash
USAmerika Qo‘shma ShtatlariMDMerilend
124 000 $ – 185 000 $ / yil
OfisdaTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaBiznes operatsiyalari
ERP

Lead digital products and regulated business systems supporting AstraZeneca’s cell therapy operations. Shape process roadmaps, integrations, analytics, compliance, and cross-functional delivery.

Ochish
Sikla GmbH

Customer and Sales Support Specialist

Sikla GmbH
501 – 1 000 Xodimlar
Ishlab chiqarishKonsaltingLogistika
GBBuyuk BritaniyaOfisdaTo‘liq stavkaJuniorO‘rta darajaDiplom talab qilinmaydiTalab Qilinadigan Til: inglizchaMijozlarni qo‘llab-quvvatlash
ERP

Support Sikla UK’s technical modular support systems business in Milton Keynes, handling customer and sales enquiries from quotation through delivery. Coordinate orders, documentation, logistics, and ERP administration with customers and internal teams.

Ochish
Newstel Worldwide

Part-Time Danish-Speaking Customer Service Agent (Portugal, Remote)

Newstel Worldwide
201 – 500 Xodimlar
KonsaltingLogistikaMarketing
PTPortugaliya
11 € – 14 € / soat
MasofaviyYarim stavkaJuniorO‘rta darajaDiplom talab qilinmaydiTalab Qilinadigan Til: danTalab Qilinadigan Til: inglizchaMijozlarni qo‘llab-quvvatlash

Provide remote customer support in Danish for Newstel’s multilingual BPO customers while meeting service and quality targets. This part-time role covers email, chat and phone enquiries from Portugal.

Ochish