Mid-Level Machine Learning Specialist (LLMs)

THE COMPANY DTiQ is a global leader in intelligent video-based surveillance and loss prevention solutions, helping businesses improve operations and protect their assets. With over 20 years of experience and more than 45,000 customers worldwide—including well-known brands like Adidas, Burger King, Hard Rock Café, KFC, McDonald’s, US Polo, and Yankee Candle—DTiQ supports over 8 million customer experiences every day. We are proud to offer a collaborative, inclusive, and growth-oriented work environment where employees are encouraged to learn, develop new skills, and build long-term careers. For more information on DTiQ visit our website ( www.dtiq.com ) or our LinkedIn page ( https://www.linkedin.com/company/dtiq ). We’re looking for a Machine Learning Specialist with hands-on experience in Large Language Models (LLMs) to join our growing Data Science team. In this role, you’ll help build cutting-edge AI solutions used by global clients in the retail and restaurant industries—turning complex data (including images and text) into actionable intelligence. If you enjoy solving real-world problems, working with modern AI stacks, and seeing your models deployed at scale, this role is for you. Learn more about DTiQ at www.dtiq.com or https://www.linkedin.com/company/dtiq ________________________________________ What You’ll Do • Design, develop, and deploy applications powered by LLMs and Vision-Language Models (VLMs) • Build and optimize ML pipelines to improve performance, scalability, and accuracy • Take ownership of models in production—monitoring, validating, and continuously improving outputs • Collaborate with cross-functional teams to translate business needs into AI-driven solutions • Contribute to the evolution of our MLOps and AI engineering practices ________________________________________ What We’re Looking For Core Qualifications • Ability to work a European hours with a remote team based in Poland • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field • 2+ years of hands-on experience delivering machine learning solutions in production environments • 1+ year of experience working with LLM-based systems (e.g., OpenAI, Google AI, Ollama, or similar) Technical Skills • Strong Python skills with libraries such as Pandas, NumPy, scikit-learn, Pydantic • Experience with modern LLM frameworks like LangChain and/or LangGraph • Familiarity with MLOps practices (model deployment, monitoring, versioning) • Experience working with SQL/NoSQL databases • Exposure to tools such as Snowflake (Cortex), Langfuse, or similar is a plus • Hands-on experience with cloud platforms (AWS preferred) • Comfortable using GitHub, Jira, and Confluence in an agile environment Soft Skills • Strong problem-solving mindset with a high level of curiosity • Ability to work independently and collaboratively in a distributed team • Good English communication skills (written and spoken) ________________________________________ Why Join Us? • Work on real-world AI applications used by international clients • Be part of a fast-evolving AI team working with the latest LLM technologies • Opportunity to own end-to-end ML solutions, from experimentation to production • Collaborative, global work environment with strong knowledge-sharing culture ________________________________________ Nice to Have • Experience with image analysis or computer vision models • Exposure to retail or restaurant industry data use cases • Background in prompt engineering, fine-tuning, or RAG systems