Mid Data Science / AI Engineer
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Salary
≈ $41k – $87k per year (Estimated)
Location
Remote (Poland)also open in Ukraine
Seniority
Middle · 3+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 13, 2026. Comm-IT scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Comm-IT is an Israeli technology services company headquartered in Petah Tikva that provides software development, cloud and managed services, generative AI and ML, data and big data, cybersecurity, embedded and IoT, and IT and communication infrastructure work. Founded in 2005 by veterans of IDF technology units, it reports about 1,000 experts and 1,200 clients, with an office in New York and delivery centers in Ukraine, Poland, Armenia, Bulgaria and other countries. It hires backend, full-stack and React developers, DevOps and data engineers, GCP specialists, help desk and network technicians, project and product managers and QA engineers.
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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