Key Facts

Remote From:

Ukraine , Poland

Category: AI Specialist

Full time

Mid-level (2-5 years)

English

Hard Skills

Python (Programming Language) Machine Learning Computational Intelligence Deep Learning Natural Language Processing (NLP) TensorFlow PyTorch (Machine Learning Library) SQL (Programming Language) NoSQL Vector Data +3 more

Roles & Responsibilities

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
Experience with SQL and NoSQL databases

Requirements:

Develop and deploy machine learning and AI solutions
Collaborate with senior engineers to build scalable and reliable AI-driven products
Work on LLM-based systems and modern NLP applications
Build production-grade AI systems for high-quality financial research

Commit

About Commit

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 type: SME

Founded: 2018

Company size: 501 - 1000

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Job description

Description

We are a global AI-powered financial intelligence company that leverages proprietary AI and large language models to deliver investment research and insights across global markets. Our platform enables financial institutions and investors to access transparent, explainable, and multilingual analysis across equities, funds, and other financial instruments.

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

We are looking for a Mid 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.