Machine Learning Engineer (Genai & Nlp) - Capitole

Brings3-5 yearsof experience buildingproduction features/systems with AI/ML. Writesadvanced, production-grade Python- not notebook scripting. Has worked onreal NLP / GenAI / LLM projectsand can explain them in depth - embeddings, evaluation metrics beyond accuracy, how they assessed system performance. Thinks like anML engineer: moves models to production, understands the full pipeline, applies solid coding practices (Git, PR, CI/CD, Docker). Knows their way aroundML libraries(scikit-learn, PyTorch) anddata processing(pandas). ?Nice to have: Experience withDatabricks. Familiarity withAWS infrastructure(S3, Lambda, Bedrock). Understanding ofdata augmentation, bias and training pipelines. ASoftware Engineeringbackground with a recent move into AI/ML. ?Location:Barcelona. (Hybrid: 1-2 days in the office). ??Language: English C1 (Fluent, all team communication is in English).

Las Palmas de Gran Canaria, Las Palmas, España

? Capitole keeps growing - and we want to do it with you! ? We’re looking for anAI/ML Engineerto join a global leader in HR technology - a teambuilding Generative AI assistantsused across global markets. This is ahands-on engineering role, where focus isshipping GenAI/NLP models to productioninPython, working shoulder-to-shoulder with MLEs inside a lean 5-6 person squad across 3-4 projects. If you code your ML solutions yourself rather than leaning on out-of-the-box AutoML tools, and you like owning the technical solution end-to-end, this is for you. ?What you’ll find here: Buildingproduction-ready GenAI/LLM features- chatbot assistants and NLP systems, from prototype to production. Writingstructured, quality Pythonwith real engineering discipline:PR practices, Git, CI/CD, Docker. Designingend-to-end NLP pipelines- data processing, model development, evaluation, deployment. Getting hands-on withLLMs, embeddings and modern GenAI tooling(OpenAI, AWS Bedrock).