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Generative AI and ML Engineer (Remote - Europe) at Seez. First things first: are you customer-obsessed? If the answer is yes, you might be a great fit for Seez.. Seez is an AI-powered automotive technology company transforming how vehicles are bought and sold. Since 2016, we’ve been building scalable SaaS and digital retail solutions that help dealerships, OEMs, and marketplaces deliver smarter, more seamless car buying experiences. Our technology combines AI, data, and automation to power everything from intelligent vehicle discovery to next-generation conversational and generative AI tools.. We’re looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of research and real-world impact. This role is perfect for someone who loves experimenting with new technologies, solving complex problems, and building intelligent systems that shape the future of automotive retail.. JOB KEY RESPONSIBILITIES . Work closely with business analysts during the requirement definition stage to make sure the business requirements can be implemented in our platform.. Work day-to-day in a multi-functional team to build and extend machine learning libraries and frameworks to be used in scalable customer facing web applications.. Collaborate with software engineers, product managers, designers, and analysts.. Deliver testable, maintainable, and high-quality code.. Monitor, test, and continuously optimize our Machine Learning models.. Ensure that our user experience is the very best it can be.. Share knowledge, promote best practices, and collaborate with some of the best Machine Learning engineers in the company.. Collaborate with key internal stakeholders.. Employ impeccable analytical and problem-solving abilities to tackle complex challenges in the Machine Learning and AI domains.. Regularly update knowledge with the latest trends and developments in the machine learning industry.. Work effectively with minimal supervision and a proven ability to align data infrastructure with business goals.. WHAT YOU’LL BRING TO THE PARTY (MUST HAVES). Minimum 2 years work experience. . Proven experience with Large Language Models, RAG, fine-tuning, embeddings, and vector databases.. Experience with open source LLMs and relevant hardware to host them.. Proficiency with OpenAI API, LangChain ecosystem, and prompt engineering is essential.. Skilled in API integration with various providers and enhancing customer experience.. Deep familiarity with data structures, data modeling, and software architecture.. Proficiency in Python and SQL. R is considered a plus as well.. Competency in data visualization using R, Python libraries, Tableau, PowerBI, or similar tools.. Proficiency in using version control tools such as Git.. Strong ability to understand business needs, data gathering, clear communication, and incorporating feedback.. Experience analyzing a feature in production using analytics and experiments.. Experience in applying machine learning models to solve real-world problems.. YOU’LL THRIVE IN THIS ROLE IF YOU’RE SOMEONE (GREAT-TO-HAVE). Experience working in startups. Experience with cloud services such as AWS and Azure.. Knowledge of the automotive industry is a plus.. Experience with writing, releasing, and working in large distributed systems, deep learning or/and natural language processing is a big plus.. Understanding of the fundamentals of machine learning and NLP, with the ability to apply these principles to solve real-world problems, developments in Deep Learning and Language Modeling, especially Generative AI and Large Language Models.. Company Location: Portugal.