Machine Learning Engineer

Emporix is an AI-driven Autonomous Commerce Execution Platform that gives enterprises full control over how their commerce works. It orchestrates operations end-to-end—so you can scale faster, respond smarter, and deliver better customer experiences. We are looking for a skilled Machine Learning Engineer to join our team in Poland, with hands-on experience in fine-tuning and deploying custom large and small language models (LLMs/SLMs) to production. In this role, you’ll build and optimize cutting-edge AI models that power intelligent commerce experiences. If you’re excited about production-grade AI, retrieval-augmented generation (RAG), and cloud-native ML engineering, we’d love to hear from you. What You’ll Be Doing LLM & SLM Development Fine-tune and optimize LLMs and SLMs on domain-specific datasets to enhance relevance and performance. Build and iterate on custom models tailored to business-specific needs and customer workflows. Evaluate models for accuracy, latency, cost, and robustness in real-world scenarios. RAG & System Integration Design and implement retrieval-augmented generation (RAG) pipelines. Work closely with backend engineers to integrate models into microservice-based systems via APIs and orchestration layers. Production-Grade ML Operations Deploy and monitor ML models in cloud environments such as GCP or equivalent platforms. Build scalable, reproducible training and inference pipelines using MLOps best practices. Track performance with monitoring, logging, and feedback loops for continuous improvement. Collaboration and Optimization Collaborate with AI developers, product managers, and domain experts to understand business use cases and translate them into ML solutions. Documentation Write and maintain clean, well-structured documentation for LLMs/SLMs. Contribute to knowledge bases and architecture diagrams for long-term maintainability and onboarding. What We’re Looking For At least 3+ years of hands-on experience in machine learning, with a focus on NLP and language models. Proven experience with LLM/SLM fine-tuning, training, and optimization, including LoRA, QLoRA, or similar techniques. Strong understanding of transformer architectures and experience working with open-source models (e.g., Hugging Face, Mistral, LLaMA, Gemma). Experience designing and deploying RAG systems in production environments. Hands-on experience with Python, PyTorch or TensorFlow, and ML frameworks and libraries. Experience deploying and operating ML models in cloud environments, ideally GCP. Familiarity with vector databases, embedding models, and semantic search. Ability to bridge research and engineering: experiment fast, ship stable solutions. Strong English communication skills (B2/C1 or above). Why You’ll Love It Here Real Impact: Your work will directly power next-gen autonomous commerce experiences used by top-tier businesses. Cutting-Edge Technology: Work with advanced AI frameworks like LangChain and LangGraph, and bring LLM-driven features to production in a cloud-native environment. Autonomy and Innovation: Explore agentic AI, RAG systems, and next-gen architectures with the freedom to propose and test new ideas. Collaborative Culture: Join a team of talented professionals who value knowledge-sharing, open communication, and a passion for building exceptional systems. Flexible Work Setup: Enjoy a hybrid work model that promotes flexibility and personal well-being while encouraging collaboration and meaningful team connections. Impactful Contribution: Be part of a company where your work directly impacts the success of a next-generation commerce platform used by top-tier businesses. #J-18808-Ljbffr