Commit
501 - 1000 employees
🔒 Cybersecurity
Cybersecurity
Commit is a global tech services company founded in 2005, with a presence in Israel, the US, Canada, the UK, and Europe. It specializes in advanced technologies and applications, providing innovative, end-to-end technology solutions, including custom software and IoT platforms. Commit has over 700 multidisciplinary experts who cater to a wide array of companies, from startups to large enterprises, and focuses on areas like Cloud, GenAI, Software, IoT, Big Data, Cybersecurity, and data center migration. Its proprietary Flexible R&D methodology supports clients in transforming their technology visions into high-quality products while reducing costs and improving time-to-market.
Mid Data Science – AI Engineer
🔥 2 minutes ago
🗣️🇺🇦 Ukrainian Required
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Commit
501 - 1000 employees
🔒 Cybersecurity
Cybersecurity
Commit is a global tech services company founded in 2005, with a presence in Israel, the US, Canada, the UK, and Europe. It specializes in advanced technologies and applications, providing innovative, end-to-end technology solutions, including custom software and IoT platforms. Commit has over 700 multidisciplinary experts who cater to a wide array of companies, from startups to large enterprises, and focuses on areas like Cloud, GenAI, Software, IoT, Big Data, Cybersecurity, and data center migration. Its proprietary Flexible R&D methodology supports clients in transforming their technology visions into high-quality products while reducing costs and improving time-to-market.
📋 Description
• Develop and deploy machine learning and AI solutions • Build scalable, reliable, production-grade AI-driven products • Work with LLM-based systems and modern NLP applications • Collaborate with senior engineers • Make high-quality financial research accessible and data-driven
🎯 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 • Nice to have: Experience training or fine-tuning LLMs • Nice to have: Experience with cloud platforms (AWS, Google Cloud, Azure) • Nice to have: Participation in Kaggle or similar competitions
🏖️ Benefits
• No benefits or compensation extras specified
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