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

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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
  
  

• 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)
  
  

• 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
  
  

• 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)
  
  

• 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
  
  

• 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