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S&P Global
S&P Global
Malakali ishchi vizasi homiysiKonsaltingLogistikaMarketing

S&P Global butun dunyo bo‘ylab bizneslar, investorlar, hukumatlar va boshqa tashkilotlarga bozor ma’lumotlari, kredit reytinglari, tahliliy yechimlar va benchmark indekslarini taqdim etadi. Uning xizmatlari moliya, xomashyo bozorlari, mobillik, barqarorlik, energetikaga o‘tish va sun’iy intellekt sohalarini qamrab oladi hamda mijozlarga bozor o‘zgarishlarini tushunish, kredit xavfini baholash va asoslangan qarorlar qabul qilishda yordam beradi.

Kompaniya bu ma’lumot va tahlillarni S&P Global Market Intelligence, S&P Global Ratings va S&P Dow Jones Indices kabi biznes yo‘nalishlari orqali taqdim etadi. Uning ma’lumotlarga asoslangan mahsulotlari murakkab global bozorlarda tadqiqot, xavf tahlili, benchmarklash va strategik rejalashtirishni qo‘llab-quvvatlaydi.

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Kompaniyadagi ish o‘rinlari

Machine Learning Engineer, Kensho — S&P Global

Build production generative AI systems and retrieval-based agents for Kensho, using S&P Global financial data to ground large language model outputs. Develop scalable machine learning solutions from early exploration through deployment and monitoring.

INHindistonOfisdaTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
PythonSQL

Tavsif

  • Develop and deploy machine learning systems for complex business challenges and Kensho products
  • Create retrieval-based AI agents that find, validate, and organize data from S&P datasets
  • Assess LLM agents and improve performance, latency, memory use, compute efficiency, and feature consistency
  • Work with proprietary structured and unstructured data alongside subject matter experts
  • Scale and optimize machine learning systems for demand, resource efficiency, and dependable production operation
  • Identify technical debt and recommend improvements to system reliability and maintainability
  • Plan and deliver machine learning initiatives across Kensho products
  • Partner with teams across Data, Product, Design, and Engineering
  • Build machine learning features that improve user workflows
  • Contribute throughout the machine learning lifecycle, from problem definition and data exploration to deployment and production monitoring

Talablar

  • Bachelor’s degree or higher in computer science, engineering, or a related discipline
  • At least three years of substantial hands-on industry experience in machine learning, natural language processing, and information retrieval
  • Experience designing, launching, and maintaining production systems
  • Strong Python skills
  • Ability to understand SQL databases and write queries for specific access patterns
  • Experience building machine learning pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation
  • Experience with machine learning libraries or frameworks for orchestrating large language models, such as LangChain
  • Experience with retrieval-augmented generation systems is preferred
  • Effective coding, documentation, collaboration, and communication practices
  • Strong problem-solving ability and a proactive mindset
  • Ability to adapt to a fast-moving, changing work environment

Imtiyozlar

  • Health coverage supporting mental and physical well-being
  • Generous paid time off
  • Ongoing learning and career development resources
  • Competitive compensation
  • Retirement planning
  • Continuing education program
  • Company-matched student loan contributions
  • Financial wellness programs
  • Family-friendly benefits and perks
  • Retail discounts
  • Referral incentive awards

O‘xshash ish o‘rinlari

Saga

Business Development Representative, Germany (Remote)

Saga
11 – 50 Xodimlar
H1B vizasi homiysiHuquqKonsaltingSun’iy intellekt
DEGermaniya
40 000 € – 50 000 € / yil
MasofaviyTo‘liq stavkaJuniorO‘rta darajaDiplom talab qilinmaydiTalab Qilinadigan Til: nemischaTalab Qilinadigan Til: inglizchaBiznesni rivojlantirish vakili

Help Saga grow its legal technology business in Germany by building qualified sales opportunities for its AI offering. The role combines prospect outreach, partner development, and representation at legal technology events.

Ochish