AI Architect at Giunti Psychometrics
50136 Firenze, Toscana, Italy -
Full Time


Start Date

Immediate

Expiry Date

21 Jun, 25

Salary

0.0

Posted On

23 Feb, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Psychological Assessment, Neuropsychology, Adolescent Psychiatry, Neuropsychiatry, Hr Consulting, Organizational Psychology, Health Psychology, Psychiatry, Clinical Services

Industry

Information Technology/IT

Description

SCIENTIFIC KNOWLEDGE FOR THE DEVELOPMENT AND WELL-BEING OF PEOPLE AND ORGANIZATIONS

Giunti Psychometrics is a European leader in psychological assessment and associated services. Our overall vision is to deliver “scientific knowledge for the development and wellbeing of people and organizations”. The core of our activity is developing innovative psychological assessments and ways of using them. We do this for clients in all major areas where scientific assessment is used:

  • clinical services (clinical and health psychology, psychiatry, child and adolescent psychiatry and neuropsychiatry, neuropsychology, speech-language pathology, etc.);
  • human resources management through Giunti Psychometrics HR consulting (in the fields of industrial and organizational psychology);
  • school and counselling services (educational, work and university consultancy).

Giunti Psychometrics commits to offering clients high quality, innovative scientific tools and services meeting the needs of Italian clients and those in a range of other European countries.

Responsibilities
  • Design and develop the AI and Machine Learning architecture aligned with the company’s strategic objectives.
  • Lead the integration of computer vision and NLP into our platforms to optimize psychometric evaluation.
  • Define and oversee the necessary infrastructure for training, deploying, and maintaining AI models.
  • Collaborate with software development and data science teams to ensure efficiency and scalability of AI solutions.
  • Automate processes with ia solutions (RPA)
  • Evaluate new AI technologies and frameworks to improve model accuracy and processing speed.
  • Ensure compliance with data privacy, ethics, and transparency regulations in AI applications.
  • Develop strategies to optimize models for cloud and on-premise environments.
  • Create technical documentation and best practices for AI adoption within the company.
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