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Mid Data Science / AI Engineer

Commit

Role overview

Qualifications

  • 3+ years of commercial experience as a Data Science / AI Engineer
  • Strong Python skills and solid software engineering fundamentals
  • 1+ year of experience with LLM and NLP-related tasks
  • Understanding of modern deep learning architectures

Responsibilities

  • Develop and deploy machine learning and AI solutions
  • Collaborate with senior engineers to build scalable AI-driven products
  • Work with LLM-based systems and modern NLP applications

Key facts

Hard skills

Other skills

  • Collaboration

About the company

Commit logo

Commit

IT Services & IT Consulting

Commit is a global tech services company with offices in New York, Israel, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Software, IoT, Big Data, Cloud, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.

Company details

Company typeSME
IndustryIT Services & IT Consulting
Company size501 - 1000

Links

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Job description

Description

We are building scalable, production-grade AI systems that make high-quality financial research accessible and data-driven.

We are looking for a Data Science / AI Engineer to develop and deploy machine learning and AI solutions, with exposure to LLM-based systems and modern NLP applications. You will collaborate with senior engineers to build scalable and reliable AI-driven products.


Requirements

Requirements:

  • 3+ years of commercial experience as a Data Science / AI Engineer
  • Strong Python skills and solid software engineering fundamentals
  • 1+ year of experience with LLM and NLP-related tasks
  • Understanding of modern deep learning architectures
  • Experience with at least one deep learning framework (TensorFlow or PyTorch)
  • Experience with SQL and NoSQL databases
  • Good knowledge of Docker
  • Strong knowledge of object-oriented programming
  • Fluency in Ukrainian
  • Upper-Intermediate or higher level of English (spoken and written)

Nice to Have:

  • Hands-on experience with RAG pipelines and vector databases
  • Experience training or fine-tuning LLMs
  • Experience with cloud platforms (AWS, Google Cloud, Azure)
  • Participation in Kaggle or similar competitions

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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