S&P Global
S&P Global

S&P Global visā pasaulē nodrošina uzņēmumus, investorus, valdības un citas organizācijas ar tirgus informāciju, kredītreitingiem, analītiku un etalonindeksiem. Tās pakalpojumi aptver finanses, izejvielas, mobilitāti, ilgtspēju, enerģētikas pāreju un mākslīgo intelektu, palīdzot klientiem izprast tirgus attīstību, novērtēt kredītrisku un pieņemt pārdomātus lēmumus.

Uzņēmums šīs atziņas nodrošina, tostarp ar S&P Global Market Intelligence, S&P Global Ratings un S&P Dow Jones Indices starpniecību. Tā datu vadītie produkti atbalsta izpēti, riska analīzi, salīdzinošo novērtēšanu un stratēģisko plānošanu sarežģītos globālajos tirgos.

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.

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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

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