S&P Global
S&P Global

S&P Global teikia rinkos informaciją, kredito reitingus, analizes ir lyginamuosius indeksus įmonėms, investuotojams, vyriausybėms ir kitoms organizacijoms visame pasaulyje. Jos paslaugos apima finansus, žaliavas, mobilumą, tvarumą, energetikos transformaciją ir dirbtinį intelektą, padėdamos klientams suprasti rinkos pokyčius, įvertinti kredito riziką ir priimti informacija pagrįstus sprendimus.

Bendrovė šias įžvalgas teikia per tokius padalinius kaip „S&P Global Market Intelligence“, „S&P Global Ratings“ ir „S&P Dow Jones Indices“. Jos duomenimis pagrįsti produktai padeda atlikti tyrimus, analizuoti riziką, vykdyti lyginamąją analizę ir strategiškai planuoti sudėtingose pasaulio rinkose.

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.

Aprašymas

  • 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

Reikalavimai

  • 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

Privalumai

  • 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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