Ingegnere Informatico

Greentechsolution; Napoli; Ibrido; EUR 38.000 - 56.000; Tempo pieno

Vantaggi offerti da questo lavoro

Participation in advanced AI research

Professional growth and continuing教育

Collaborative and innovative work环境

Descrizione del lavoro

Greentechsolution in Naples, Campania, Italy, seeks an AI/ML specialist to develop and deploy AI solutions across business units. You will collaborate with the technical team, build and evaluate models, and ensure data quality for training.

The role offers hybrid work in Naples with opportunities for professional growth through advanced research projects and continuing education. Strong communication and problem-solving skills are essential.

Competenze

• Bachelor's or Master's degree in computer science, engineering, math, statistics or related field.
• Thorough knowledge of machine learning algorithms, deep learning, and data analysis techniques.
• Proficient in Python programming.
• Familiarity with AI frameworks such as TensorFlow, PyTorch, scikit-learn.
• Ability to communicate clearly with non-technical teams.
• Results orientation, problem solving, and attention to detail.
• Adaptability and willingness to learn in a changing environment.

Mansioni

• Develop and implement AI algorithms to solve specific business problems.
• Conduct in-depth research and analysis to identify opportunities for AI use and assess impact.
• Collaborate with the Technical Team to integrate AI solutions into existing processes.
• Collect and prepare high-quality data for training AI models.
• Train, optimize and evaluate AI models using ML and DL methods.
• Monitor and maintain AI systems to ensure performance and security.
• Provide training and technical support to ensure proper adoption of AI within the enterprise.
• Maintain knowledge of the latest AI trends and developments.

Conoscenze

Machine learning

Deep learning

Data analysis

Python

Communication

Problem solving

Adaptability

Formazione

Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, Statistics or related field

Strumenti

TensorFlow

PyTorch

scikit-learn

Python

Descrizione del lavoro

The resource will be able to perform the following activities:

• Develop and implement artificial intelligence algorithms to solve specific business problems.
• Conduct in-depth research and analysis to identify opportunities for AI use and assess their impact.
• Collaborate with the Technical Team to integrate AI solutions into existing business processes.
• Collect and prepare high-quality data for training AI models.
• Train, optimize and evaluate AI models using machine learning and deep learning methods.
• Monitor and maintain AI systems to ensure their performance and security.
• Provide training and technical support to ensure proper adoption of AI within the enterprise.
• Maintain in-depth knowledge of the latest trends and developments in AI to proactively apply them.

Opportunity for steady growth over time in terms of salary depending on the type of autonomy and responsibility achieved.

REQUIREMENTS:

• Bachelor's and/or Master's degree in Computer Science, Computer Engineering, Mathematics, Statistics or related field.
• Thorough knowledge of machine learning algorithms, deep learning, and data analysis techniques.
• Programming skills in languages such as Python
• Familiarity with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
• Ability to communicate clearly and effectively with non-technical teams.
• Results orientation, problem solving skills and attention to detail.
• Ability to adapt to a changing environment and continuous learning.

Mode of work: Hybrid (smart working - office)

Place of work: Naples, Campania

Soft skills required: team working, problem solving, communication skills, organizational and time management skills

Employment contract: fixed-term with possibility of transformation/apprenticeship

Additional benefits:

• Participation in advanced research projects in the field of AI.
• Opportunities for professional growth and continuing education.
• Collaborative and innovative work environment.