AI Developer
1 giorno fa
Italia
Mare Group
Tempo pieno
Gratuito con email o Google
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# 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).
* #J-18808-Ljbffr
* 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).
* #J-18808-Ljbffr