Artificial Intelligence Engineer

Description

Summary: Join Q-Tech's client as an AI Engineer, a hands-on role focused on researching, designing, training, and deploying deep learning models for product integration. Highlights: 1. Hands-on engineering role in AI/ML 2. High ownership and direct impact on products 3. Work with a senior, low-ego team and founders Descripción At **Q\-Tech**, we are looking for an **AI Engineer** to join one of our clients in the **technology sector**. Preferably based in **Barcelona** or the surrounding area, but if you bring solid experience, we're open to other locations! **The Role** This is a **hands\-on engineering role**. You will: * Research, design, and train models suited to the specific needs of our products * Fine\-tune existing open\-source and foundation models to maximize accuracy and performance * Own the full model lifecycle: data curation, experimentation, evaluation, and production deployment * Collaborate with mobile and backend engineers to integrate models directly into our apps * Define and track the metrics that drive quality — and continuously push them in the right direction **What We Are Looking For** * **Academic Background:** Degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related technical field / Master's or PhD in machine learning or a related area is a strong plus * Hands\-on experience training or fine\-tuning deep learning models that are used in production. * Strong **Python** skills and experience with **ML frameworks (PyTorch or JAX preferred)** * Comfort with the full model development cycle: data pipelines, experiment tracking, evaluation, deployment and scaling. * Solid understanding of modern model architectures and when to apply them * Experience with the **Hugging Face ecosystem** (Transformers, Datasets, Hub) is a strong plus * Ability to work autonomously, make decisions under uncertainty, and ship without waiting for perfect conditions **Nice to Have** * Experience across multiple model domains (vision, audio, NLP, multimodal) * Familiarity with on\-device or edge inference optimization (quantization, distillation, ONNX) * Experience integrating ML models into mobile or production environments * Published research or open\-source contributions in ML **AI Proficiency** You actively use AI tools in your own workflow — not as a novelty, but as a genuine productivity multiplier. You stay current with the state of the art and know how to apply the latest research to real product problems. **Communication** You communicate clearly and directly. You can explain technical decisions to non\-technical stakeholders, flag blockers early, and collaborate effectively in a small, fast\-moving team. **What We Offer** * Attractive compensation, above market average * Hybrid work model based in Barcelona * High ownership from day one — you define the direction, not just execute on it * Work directly with the founders and a senior, low\-ego team * A real product with real users — your work will have immediate, measurable impact **If you see this as an opportunity for professional growth and development, don't hesitate to apply. Let's talk!** **\#AI \#Engineering \#MLOps \#DeepLearning \#Python \#HuggingFace** \- Barcelona Híbrido **Persona de contacto:** agrisolia@q\-techrec.com 617 104 165