machine learning engineer for logistics operations

DSV is a global leader in transport and logistics, operating across more than 90 countries. The company provides logistics services and uses AI to support critical operations, business decisions, and customer experiences.

• Independently deliver scoped AI, GenAI, NLP, and RAG features of moderate complexity;
• Develop and enhance RAG pipelines, including document parsing and ingestion, chunking and metadata strategies, query transformation, retrieval and ranking, response generation, and grounding;
• Build GenAI features using LLM APIs, structured prompting, and orchestration frameworks such as LangChain, LangGraph, and DSPy;
• Evaluate AI system performance through retrieval metrics, response quality assessment, hallucination analysis, latency measurement, cost analysis, and failure-case testing;
• Assess engineering trade-offs across model quality, latency, cost, reliability, maintainability, and implementation complexity;
• Own features end-to-end from requirements clarification and experimentation through deployment and initial production support;
• Translate requirements into user stories and provide implementation plans throughout the software development lifecycle;
• Identify risks, dependencies, and data limitations early and propose workable solutions;
• Challenge unclear requirements and contribute pragmatic, value-driven alternatives;
• Stay current with developments in LLMs, RAG, prompt optimization, model evaluation, fine-tuning, and applied AI frameworks, and assess their business impact.

• Degree in Computer Science, Software Engineering, AI, Machine Learning, or a similar field, or equivalent professional experience;
• 3+ Years of professional AI engineering or applied data science experience, including hands-on work with AI, NLP, machine learning, deep learning, or language-model-based applications;
• Strong Python skills and experience building clean, maintainable, production-ready software;
• Hands-on experience with GenAI, LLM-based solutions, or open-source models;
• Solid understanding of software engineering practices, including testing, CI/CD, and version control;
• Experience with model evaluation, monitoring, or experiment tracking tools such as MLflow or similar;
• Ability to work in cross-functional agile teams;
• Clear communication in English;
• Nice to have: Experience with Google Cloud or similar cloud platforms, familiarity with RAG architectures, embeddings, vector databases, and retrieval techniques, exposure to fine-tuning or model optimization, experience with Kedro and KServe, knowledge of agentic workflows, tool-calling systems, agentic search, MCP, or A2A integration patterns.

• Employment contract with a comprehensive benefits package;
• Training and development programs and access to an e-learning platform;
• Onboarding support from a dedicated Buddy;
• Annual company-wide integration event;
• Scandinavian organizational culture;
• Internal growth program;
• Sports activities, private medical care, foreign language classes, and professional training courses are partially covered;
• Life insurance, corporate gym, corporate sports team, coffee and tea, employee parking, extra social benefits, holiday funds, Christmas gifts, employee referral program, charity initiatives, bicycle parking, and office yoga;
• Modern and ergonomic office;
• Contract employment.