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Ai engineer specializing in generative ai (sevilla)

Sevilla
Infoser New Technologies
40.000 € al año
Publicada el 10 junio
Descripción

Data Scientist / AI Solutions Developer

Infoser NT is looking for a Data Scientist with a strong practical focus on AI solution development to join an innovative and fast-moving AI engineering environment.

The selected candidate will contribute to the design, development, experimentation, and delivery of AI and machine learning solutions across different business and technical domains. This role is adecuado for someone who combines solid Python and machine learning skills with a pragmatic mindset, curiosity for AI, and the ability to transform ideas into working solutions that generate real business value.

We are looking for a hands‑on profile, not purely academic or theoretical, with the ability to iterate quickly, collaborate with multidisciplinary teams, and adapt to different AI‑related challenges.


Key Responsibilities

* Design, develop, and iterate AI and machine learning solutions for real-world business use cases.
* Work across the full AI development lifecycle, from data exploration and experimentation to model evaluation and solution implementation.
* Build, train, evaluate, and optimize machine learning models using Python and modern ML libraries.
* Perform data preparation, feature engineering, model selection, hyperparameter tuning, and performance analysis.
* Translate business needs into practical AI‑driven solutions in collaboration with technical and non‑technical stakeholders.
* Develop reproducible, maintainable, and well‑documented code.
* Use modern AI‑assisted development tools to accelerate delivery and improve development efficiency.
* Collaborate with software engineers, data engineers, product owners, and business teams to integrate AI capabilities into broader solutions.
* Support the technical validation of AI approaches, including feasibility analysis, accuracy assessment, limitations, and improvement opportunities.
* Contribute to best practices around experimentation, version control, model evaluation, and collaborative development.
* Sta
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