Machine Learning Engineer

SHOPFLIX is the fastest-growing online marketplace, launched in 2021, with a bold vision to redefine e-commerce in Greece.

We’re on a mission to connect people with the products they love - faster, easier, and more affordably - while helping local businesses thrive through smart technology and seamless logistics.

At SHOPFLIX, we’re not just building a platform - we’re building the future of e-commerce.

We value agility, creativity and a customer-first mindset. Our culture is driven by innovation, inclusivity where every voice matters and every role drives real impact.

The Mission

We are not just moving boxes; we are building the smartest marketplace in Greece.

We are looking for a Machine Learning Engineer to join our engineering team and help us build intelligent, scalable, production-grade AI systems.

This is a hands-on engineering role for someone with a strong multi-disciplinary toolkit across computer vision, natural language processing, information retrieval, generative AI, and production MLOps.

What You Will Do

You will help design, build, and deploy AI-powered systems that improve product discovery, search relevance, recommendation quality, image understanding, and conversational user experiences across our marketplace.

Your Work May Include

• Building image similarity, product matching, and visual search capabilities.
• Developing semantic search and dense retrieval systems.
• Designing and deploying LLM-powered experiences for intelligent search and conversational interfaces.
• Creating autonomous workflows and tool-use systems using agentic AI frameworks.
• Scaling asynchronous ML workloads and event-driven data pipelines.
• Deploying, monitoring, and optimizing production ML APIs in cloud environments.
  
  

What We Are Looking For

• Strong software engineering fundamentals and ability to ship reliable production systems.
• A pragmatic engineer who can turn AI concepts into production-ready systems.
• Strong problem-solving ability and ownership mindset.
• Interest in e-commerce, marketplace platforms, search, discovery, and user experience.
• Ability to collaborate with engineering, product, and business teams.
• Curiosity, adaptability, and enthusiasm for building with emerging AI technologies.
  
  

As well as, experience in some or most of the following areas:

• Computer Vision & Image Similarity
• Feature extraction, image embeddings, and high-dimensional similarity matching.
• Deep metric learning and visual search systems.
• OCR and text extraction from images.
• Advanced Information Retrieval
• Dense retrieval, vector search, and semantic search optimization.
• Experience with vector databases such as Pinecone, Milvus, or Qdrant.
• Practical understanding of ranking, relevance, and retrieval evaluation.
• Generative AI & Large Language Models
• Prompt engineering, fine-tuning, and deploying LLMs.
• Experience building LLM-powered search, recommendation, or conversational interfaces.
• Familiarity with Hugging Face models and modern NLP tooling.
• Agentic AI Frameworks
• Building autonomous workflows and tool-use systems.
• Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or CrewAI.
• Designing reliable multi-step AI pipelines.
• Asynchronous Systems & Queuing
• Experience with distributed task queues and message brokers.
• Practical knowledge of systems such as RabbitMQ.
• Building event-driven data pipelines and asynchronous ML workloads.
• Production MLOps
• Deploying, monitoring, and scaling ML services in production.
• Experience with AWS or GCP.
• Working with Docker, Kubernetes, and low-latency ML APIs.
• Understanding of model observability, performance monitoring, and reliability.
• Core Engineering
• Strong programming skills in Python.
• Solid knowledge of SQL.
• Experience with ML frameworks such as PyTorch, TensorFlow, and Hugging Face.
  

What We Offer

• Hybrid working model
• Competitive compensation package
• The opportunity to work in a high-traffic environment (millions of users) where your code impacts the Greek e-commerce market daily.
• A modern, agile work environment (Tribes & Chapters).
• Access to training programs and skill-development tools
  
  

Ready to make an impact?

If you have vision, passion, and a tech mindset, send us your CV and join the team that is redefining online shopping in Greece.