Junior Machine Learning Engineer

Job Title: Junior Machine Learning Engineer (LLM Applications)Location: NetherlandsEmployment Type: Full-timeAbout UsInoGen AI is building the next generation of AI-powered [products/services - e.g., productivity tools, customer support systems, data assistants, etc.]. We specialize in developing applications that harness the power of Large Language Models (LLMs) to make complex tasks simpler, faster, and more human.We’re looking for a Junior Machine Learning Engineer who’s excited about working with state-of-the-art language models and eager to learn how to design, fine-tune, and deploy them in production.⸻Key Responsibilities• Assist in developing and optimizing LLM-based applications (e.g., chatbots, summarization tools, text generation systems).• Work on prompt engineering, fine-tuning, and evaluating LLM performance for specific business use cases.• Help with data preparation, including text preprocessing, labelling, and cleaning datasets for training and evaluation.• Support the integration of LLMs into production systems through APIs and frameworks (e.g., LangChain, LlamaIndex).• Contribute to experimentation pipelines, A/B testing, and model performance tracking.• Collaborate with senior ML engineers and product teams to design scalable, ethical, and user-friendly AI features.• Stay up to date on the rapidly evolving LLM ecosystem, including open-source models, benchmarks, and tools.⸻Requirements• Bachelor’s degree in Computer Science, Data Science, Engineering, Linguistics with programming focus, or a related field.• Strong understanding of machine learning fundamentals, especially in natural language processing (NLP).• Proficiency in Python and familiarity with ML/NLP frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or OpenAI SDKs.• Basic knowledge of vector databases (e.g., FAISS, Pinecone, Chroma) and embedding models.• Familiarity with APIs, REST, and basic software engineering best practices (Git, CI/CD, etc.).• Strong analytical and problem-solving skills with attention to detail.⸻Nice to Have• Hands-on experience with LLM frameworks (LangChain, LlamaIndex, Haystack).• Experience fine-tuning or evaluating open-source LLMs (e.g., Llama, Mistral, Falcon).• Familiarity with retrieval-augmented generation (RAG) architectures.• Knowledge of cloud services (AWS, GCP, Azure) and containerization (Docker).• Previous internship, coursework, or personal projects involving LLMs, NLP, or AI applications.⸻What We Offer• An opportunity to work on cutting-edge LLM technologies from day one.• Mentorship from experienced AI/ML engineers and research scientists.• A collaborative, learning-driven environment that encourages experimentation.• Competitive salary and benefits package.• Flexible, hybrid, or remote work arrangements.⸻How to ApplyPlease send your CV, portfolio or GitHub profile, and a short note about your interest in LLMs to michael.snow@inogen.ai