> Markdown version of [/jobs/ext/2093906-ai-nlt-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/2093906-ai-nlt-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI & NLT Solutions Engineer - **Company:** Acclaro - **Location:** Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Process Modeling, Python (Programming Language), Machine Learning, Machine Translation, NLTK (NLP Analysis), Tensorflow, Pytorch, Large Language Models, Build Management, HuggingFace, Spacy - **Published:** August 16, 2026 - **Apply:** https://es.trabajo.org/oferta-4021-0f00a6dd5a928ce11fbdd8c78c233fdb ## About the Role choices - Create clear, usable documentation and training for linguists and project teams - Stay on the cutting edge-monitor trends and assess emerging AI and localization tools THIS ROLE IS FOR YOU IF YOU - Bring 5+ years of experience in the localization or technology space, including 1-3 years focused on machine translation, AI, or NLP - Hold a bachelor's degree or equivalent professional or military experience - Navigate localization workflows, language assets, and content adaptation like a pro - Think critically and solve complex MT challenges with ease - Know your way around Python and libraries like TensorFlow, PyTorch, Hugging Face, spaCy, and NLTK - Work independently, prioritize like a champ, and own your responsibilities - Communicate clearly, collaborate confidently, and thrive in cross-functional teams - Are fluent in English and excited to engage with global audiences YOU'LL STAND OUT IF YOU - Are familiar with multiple language ## Description Onboarding team, supporting internal stakeholders and clients with cutting-edge strategies that evolve how we deliver language at scale. WHAT YOU'LL DO - Drive MT and AI adoption, present recommendations, and support cross-team initiatives - Lead strategic implementation of AI and MT tools that enhance workflows and boost adoption - Build and deploy machine learning and NLP models to uncover insights and streamline processes - Fine-tune MT engines for domain-specific content and multilingual markets - Partner with Engineering and Production to optimize file prep and pre-translation workflows - Provide expert guidance to internal teams and clients on AI and MT solutions - Evaluate client requests, compare MT engines, and recommend the best-fit technologies - Test and benchmark LLMs, AI tools, and MT engines for accuracy and impact - Design scalable, cost-efficient processes to evaluate MT output quality - Use post-editing data to continuously improve MT performance with smart tech ## Related Videos - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Useful AI friends for developers – building a multilingual app](https://www.wearedevelopers.com/videos/622-useful-ai-friends-for-developers-building-a-multilingual-app) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)