> Markdown version of [/jobs/ext/1687264-senior-ai-data-scientist](https://www.wearedevelopers.com/jobs/ext/1687264-senior-ai-data-scientist). 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).

---

# Senior Ai Data Scientist

- **Company:** Qualifyze
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Data Presentation, Python (Programming Language), Machine Learning, Natural Language Processing, NLTK (NLP Analysis), NumPy, Tensorflow, Software Deployment, Reinforcement Learning, Data Processing, Feature Engineering, Pytorch, Large Language Models, Deep Learning, Model Validation, Keras, Git, Pandas, Spacy, Software Version Control
- **Published:** July 31, 2026
- **Apply:** https://www.buscojobs.com.es/senior-ai-data-scientist-en-barcelona-ID-364240620

## About the Role

RequirementsPor favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés.Proficiency in Python with a focus on AI libraries (e.g., TensorFlow, PyTorch, Keras)Strong understanding of machine learning algorithms and deep learning architectures (e.g., CNNs, RNNs, GANs, Transformers)Experience with natural language processing (NLP) techniques and frameworks (e.g., NLTK, SpaCy)Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy)Knowledge of cloud platforms for AI deployment (e.g., AWS, GCP or Azure)Experience with version control systems (e.g., Git) for collaborative development5+ years of experience in AI, machine learning, or related fieldsProven experience in developing and deploying AI models in production environmentsStrong foundation in statistics and data analysis as it relates to AIFamiliarity with Agile methodologies and product development cycles(Desirable) Experience with reinforcement learning and
advanced AI techniques(Desirable) Familiarity with ethical AI practices and regulations(Desirable) Understanding of business applications and implications of AI technologies(Desirable) Experience related to LLMs, Bedrock etcWhat the job involvesWe are looking for an AI Data Scientist to join our Engineering teamAs a Senior AI Data Scientist, you will lead the development and implementation of advanced artificial intelligence solutionsYou will utilize machine learning techniques and deep learning architectures to solve complex problems and create innovative models that drive business valueYou will work collaboratively with cross?functional teams to translate business requirements into AI?driven applications and insightsDesign, develop, and deploy AI models and algorithms to address specific business challengesConduct research and experimentation to advance the xqbhyrx state?of?the?art in AI and machine learningCollaborate with product managers, engineers, and domain experts to identify
opportunities for AI integrationPerform data preprocessing, feature engineering, and model selection for optimal performanceEvaluate and optimize AI models using performance metrics and model validation techniquesCommunicate findings and insights effectively to stakeholders through data storytelling and visualizationMentor and guide junior team members in AI concepts, tools, and best practicesStay current with advancements in AI technologies and methodologies#J-*****-Ljbffr

## Description

RequirementsPor favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés.Proficiency in Python with a focus on AI libraries (e.g., TensorFlow, PyTorch, Keras)Strong understanding of machine learning algorithms and deep learning architectures (e.g., CNNs, RNNs, GANs, Transformers)Experience with natural language processing (NLP) techniques and frameworks (e.g., NLTK, SpaCy)Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy)Knowledge of cloud platforms for AI deployment (e.g., AWS, GCP or Azure)Experience with version control systems (e.g., Git) for collaborative development5+ years of experience in AI, machine learning, or related fieldsProven experience in developing and deploying AI models in production environmentsStrong foundation in statistics and data analysis as it relates to AIFamiliarity with Agile methodologies and product development cycles(Desirable) Experience with reinforcement learning and advanced AI techniques(Desirable) Familiarity with ethical AI practices and regulations(Desirable) Understanding of business applications and implications of AI technologies(Desirable) Experience related to LLMs, Bedrock etcWhat the job involvesWe are looking for an AI Data Scientist to join our Engineering teamAs a Senior AI Data Scientist, you will lead the development and implementation of advanced artificial intelligence solutionsYou will utilize machine learning techniques and deep learning architectures to solve complex problems and create innovative models that drive business valueYou will work collaboratively with cross?functional teams to translate business requirements into AI?driven applications and insightsDesign, develop, and deploy AI models and algorithms to address specific business challengesConduct research and experimentation to advance the xqbhyrx state?of?the?art in AI and machine learningCollaborate with product managers, engineers, and domain experts to identify opportunities for AI integrationPerform data preprocessing, feature engineering, and model selection for optimal performanceEvaluate and optimize AI models using performance metrics and model validation techniquesCommunicate findings and insights effectively to stakeholders through data storytelling and visualizationMentor and guide junior team members in AI concepts, tools, and best practicesStay current with advancements in AI technologies and methodologies#J-*****-Ljbffr


## Related Videos

- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)
- [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [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)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)