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Talent Acquisition Specialist

Pubblicato il 11-08-2026 - Altro in Torino

We are seeking a highly skilled and exceptionally networked Talent Acquisition Specialist to join our growing organization.

The Role
We are seeking a highly skilled and exceptionally networked Talent Acquisition Specialist to join our growing organization. This pivotal role will be instrumental in identifying, engaging, and attracting toptier AI engineers, researchers, post-docs, and other scientific professionals, including those not actively seeking new opportunities within leading research institutes and R&D; departments of large enterprises. Your primary focus will be to strategically connect our Institute with these highly sought‑after talents, ensuring we continue to build a world‑class team.

Location
Turin, Italy. Partial remote working can be agreed.

KEY RESPONSIBILITIES

Proactive Talent Sourcing & Engagement: Develop and execute advanced sourcing strategies to identify and engage top‑tier AI and scientific professionals currently excelling within other leading research institutes and corporate R&D; departments. This involves deep market mapping and cultivating relationships long before active recruitment needs arise.

Outreach to Scientific Community: Immerse yourself in key AI, scientific, and technological communities (academia, research centres, specialized forums, professional associations).

Relationship Building & Cultivation: Establish and nurture long‑term relationships with candidates. This includes understanding their career aspirations, research interests, and potential fit for future roles.

Market Intelligence & Strategic Insight: Provide sophisticated insights on the competitive AI and scientific talent landscape, including compensation, retention strategies, and key talent pools within leading research organisations globally.

Collaborative & Consultative Recruitment: Partner very closely with our Heads of R&D; Unit and Director; act as a strategic consultant,



leveraging your market intelligence to advise on talent strategy and identify the precise expertise needed to advance our research agenda.

Selection and Hiring: Contribute to the selection and evaluation of candidates and support the hiring and onboarding process.

QUALIFICATIONS

Master’s degree in Computer Science, Engineering, or a related scientific field.

At least 5 years of experience in the field of computer science technology research and development, AI, motivated to undertake or pursue a career path aimed at identifying and engaging candidates for highly specialised technical and scientific roles, in particular from high‑level research institutes and corporate research and development environments.

Talent in strategic sourcing, market intelligence, and building deep, trust‑based professional relationships within the AI/Machine Learning, Data Science, Robotics, or related scientific research domains.

Deep understanding of the motivations, career paths, and cultural nuances of scientific and engineering talent in research settings.

Superior networking, interpersonal, and communication skills (written and verbal), with a refined ability to engage senior‑level professionals.

Proficiency in advanced sourcing techniques, and professional networking platforms.

Fluency in Italian and English (both written and spoken) is essential.

WHAT WE OFFER

The chance to work at the forefront of AI innovation, directly impacting industrial transformation and societal progress.

A stimulating, collaborative, and intellectually rich work environment where pushing boundaries is encouraged.

Exceptional opportunities for continuous professional development and career growth within a rapidly expanding and impactful field.

Competitive salary and comprehensive benefits package designed to attract and retain top talent.

Please submit your updated CV and a compelling cover letter outlining your specific experience in candidate sourcing and engagement to: (email hidden)

AI4I
The Italian Institute of Artificial Intelligence for Industry
Corso Castelfidardo 22, 10129 Torino
Codice fiscale 97904430010

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