Commit
Commit
Commit ir globāls tehnoloģiju pakalpojumu uzņēmums, kas jaunuzņēmumiem un lieliem uzņēmumiem nodrošina pielāgotu programmatūru, IoT platformas un visaptverošus risinājumus. Tā daudznozaru komandā ir vairāk nekā 700 ekspertu, kuri strādā ar mākoņtehnoloģijām, ģeneratīvo mākslīgo intelektu, programmatūras izstrādi, IoT, lielajiem datiem, kiberdrošību un datu centru migrāciju. Commit darbojas Izraēlā, Amerikas Savienotajās Valstīs, Kanādā, Apvienotajā Karalistē un Eiropā, izmantojot savu Flexible R&D metodoloģiju, lai palīdzētu klientiem izstrādāt augstas kvalitātes tehnoloģiju produktus, vienlaikus uzlabojot izmaksu efektivitāti un saīsinot laiku līdz nonākšanai tirgū.

Mid-Level Data Science and AI Engineer

Develop machine learning, LLM, and NLP products built to scale. Help make financial research accessible through reliable, production-ready systems.

Apraksts

  • Develop and deploy machine learning and AI solutions
  • Create scalable, dependable AI products ready for production
  • Build with LLM-based systems and modern NLP applications
  • Work alongside senior engineers
  • Help make high-quality financial research accessible and data-driven

Prasības

  • At least 3 years of commercial experience as a Data Science or AI Engineer
  • Strong Python skills and sound software engineering fundamentals
  • At least 1 year of experience with LLM and NLP tasks
  • Understanding of modern deep learning architectures
  • Experience with TensorFlow or PyTorch
  • Experience using SQL and NoSQL databases
  • Good knowledge of Docker
  • Strong object-oriented programming skills
  • Fluency in Ukrainian
  • Upper-intermediate or higher English proficiency, spoken and written
  • Preferred: Hands-on experience with RAG pipelines and vector databases
  • Preferred: Experience training or fine-tuning LLMs
  • Preferred: Experience with cloud platforms such as AWS, Google Cloud, or Azure
  • Preferred: Participation in Kaggle or similar competitions

Priekšrocības

  • No benefits or additional compensation details provided

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