COMMIT
AI

Mid Data Scientist / AI Engineer

COMMIT · zdalnie, PL

Actively hiring Posted 14 days ago

Role overview

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.

Basic 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
  • Experience with at least one deep learning framework (TensorFlow or PyTorch)
  • Experience with SQL and NoSQL databases
  • Good knowledge of Docker
  • Hands-on experience with RAG pipelines and vector databases
  • Experience with cloud platforms (AWS, Google Cloud, Azure)
  • Ukrainian-Native, English-B2

About the company

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.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Ai Engineer Machine Learning Data Science Nlp Generative Ai

Next step

Ready to Join the Team?

Apply once with DevFound. We'll route your profile to COMMIT and keep you informed when matching AI roles go live.

  • Single profile, multiple curated AI opportunities
  • No spam roles — only vetted AI positions
  • You choose which roles to apply to
Sign up to apply

No CV uploads. We never share your profile without your consent.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.