Talent Acquisition Specialist
Pubblicato il 24-10-2026 - AI4I Foundation in Torino
We are seeking a highly skilled and exceptionally networked Talent Acquisition Specialist to join our growing organization.
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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
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- 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
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- 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
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- 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. xysqume
- 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:
AI4I
The Italian Institute of Artificial Intelligence for Industry
Corso Castelfidardo 22, 10129 Torino
Codice fiscale 97904430010