AI Developer

Mare Group; Salerno; Híbrido; EUR 40.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Remote work possible

Descripción de la vacante

Mare Group is seeking an AI Developer for the Digital area with flexibility for full remote or hybrid work from the Salerno area. The role focuses on designing, training and optimizing AI models for classification and regression tasks, with emphasis on practical deployment in software pipelines and cloud environments.

You will work with data scientists and software engineers to scale AI solutions, using TensorFlow, PyTorch and Scikit-learn across projects, ensuring robust model performance and

Formación

• Degree in computer science, computer engineering or equivalent.
• Strong programming skills in Python and data processing tools.
• Experience with ML/DL frameworks and model deployment.

Responsabilidades

• Design and implement ML models for classification and regression.
• Select and preprocess datasets with feature engineering.
• Develop and optimise CNNs, RNN/LSTM, and MLP architectures.
• Use TensorFlow, PyTorch, and Scikit-learn.
• Train, evaluate and monitor model performance.
• Deploy models into software via REST APIs and containers.
• Collaborate with data scientists and software engineers.

Conocimientos

Python

TensorFlow

PyTorch

Scikit-learn

SQL

Educación

Degree in computer science or computer engineering

Herramientas

Git

Docker

Jupyter Notebook

REST APIs

Cloud platforms

Descripción del empleo

# AI DeveloperDIGITALFULL REMOTEIBRIDOSALERNOApplyMare Group is recruiting an AI Developer for the Digital area, full remote or hybrid, based in Salerno.### Business areaHyperautomation### Position descriptionThe AI Developer is responsible for the development, design, training and optimisation of AI models to solve **classification** problems (e.g. image recognition, sentiment analysis) and **regression** problems (e.g. prediction of numerical values, time series analysis).### Main responsibilities* **Design and implement** machine learning models, with a focus on classification and regression.* **Select and pre-process** datasets, applying feature engineering and data augmentation techniques.* **Develop and optimise** deep learning architectures (e.g. convolutional neural networks - CNN, recurrent networks - RNN/LSTM, MLP).* **Use frameworks and libraries** such as TensorFlow, PyTorch, Scikit-learn.* **Train and evaluate** the models, monitoring performance metrics (accuracy, RMSE, F1-score, etc.).* **Implement tuning techniques** (hyperparameter optimization, early stopping, dropout, batch normalization).* **Integrate the models into software applications** or production pipelines (REST APIs, Docker containers, cloud deployment).* **Work with data scientists and software engineers** to scale and improve AI solutions.### Required technical skills* **Programming languages**: Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch), SQL.* **Machine Learning and Deep Learning**: neural network architectures, supervised and unsupervised models, regularisation techniques.* **Data processing**: data preprocessing, management of complex datasets, feature engineering.* **Development tools**: Git, Docker, Jupyter Notebook, REST APIs.* **Cloud & Deployment**: AWS, GCP, Azure, MLOps.### Contract typePermanent contract.### Expected grade (gross annual salary, RAL)Gross annual salary based on experience.### EducationDegree in computer science, computer engineering or equivalent### Place of workSalerno office; Hybrid or fully remote working.*This advertisement is addressed to candidates of both sexes pursuant to the law (Law 903/77 and Legislative Decree no. 98/2006, art. 27). Applicants are invited to submit their application giving specific consent to the processing of their personal data, pursuant to the new European privacy regulations, in accordance with Articles 13 and 14 of the GDPR (Regulation (EU) 2016/679 of 27 April 2016).*