Head, Artificial Intelligence and Machine Learning - Brindisi, Italia - UNICC

UNICC

Azienda verificata

Brindisi, Italia

1 settimana fa

Inviato da:

Piero Bianchi

Reclutatore di talenti per beBee

Descrizione

Position Description

Purpose of the Position

The Head, Artificial Intelligence and Machine Learning Unit will play a pivotal role in advancing AI practice for both UNICC and its partner organizations.

Following the framework provided by the Data and Artificial Intelligence Section (DDA), the incumbent will be in charge of formulating the enterprise strategy, identifying relevant AI use cases and developing implementation roadmaps.

Objectives of the Programme

The objective of the Centre is to provide trusted ICT services and digital business solutions to its Clients and Partner Organizations.

Main duties and responsibilities:

The incumbent will work under the direct supervision and guidance of the Chief, Data and Artificial Intelligence Section (DDA) within the Digital Delivery Division (DD) and will formally supervise the Artificial Intelligence and Machine Learning Unit (DDAI).

This role involves leading cross-functional delivery teams to ensure the creation of value through AI solutions and tracking associated benefits.

Collaborating closely with various departments and stakeholders, they identify GenAI needs, define project requirements, and ensure alignment of GenAI initiatives with organizational objectives.

The Lead will be tasked with initiatives to design Data and AI related initiatives and frameworks.

This includes building multistakeholder communities and initiatives involving data sharing, ownership, provenance and traceability, data rights, AI responsible design and release, open-source and licensing, and emerging frontier AI systems and technologies.

The incumbent will perform the following duties:

Develop and implement a visionary AI strategy for UNICC partners, aligning it with the UN 2.0's objectives
Supervise the creation of stateoftheart multimodal AI models, prioritizing scalability and using industryleading benchmarks to empower datadriven decisionmaking and innovation
Oversee the training of largescale AI models. Managing the data pipelines, selecting appropriate algorithms, configuring parameters, and monitoring the training process to ensure efficiency and accuracy
Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation, elevating standards of output quality, diversity, coherence and ethical integrity
Work closely with various business units and stakeholders to identify and scope potential use cases for Generative AI within the organization to foster innovation within UNICC and its partner agencies
Collaborate seamlessly with crossfunctional teams to ensure the integration of AI into UN partners objectives promoting synergies and amplifying impact
Lead and inspire a highperforming team of AI experts, fostering a culture of excellence, innovation, and collaboration to propel the organization towards the forefront of AI innovation and achievement
Collect and analyze data to identify trends or patterns and provide insight through graphs, charts, tables, and reports using data visualization methods to enable datadriven planning, decisionmaking, presentation

- and reporting

Other: Provide other ad hoc support either within the team or in other teams as required this includes the participation in special projects or support to service delivery for short period of time on a parttime or full

time basis upon request from the senior managementRecruitment Profile

Experience and Skills required:

Essential:

At least seven (7) years of IT experience, including proven experience on big data, blockchain, generative and multimodal AI, machine learning or related area
Proven expertise in building advanced multimodal foundation models such as GPT4, CLIP, Gemini, AudioPALM, and SeamlessM4T
Deep understanding and strong technical expertise in areas such as image understanding, text generation, interactive image dialog systems, segmentation, generation, and editing
Proven handson experience in data science and Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG)
Excellent problemsolving skills and the ability to think creatively
Proven experience in leading applied AI and research groups, driving innovation within crossfunctional teams
Proven experience managing a multicultural team
Deep business and technology acumen
Ability to influence and drive transformative change within a complex and successful organization

Desirable:

Publications and contributions to the AI research community are a plus
Experience in Big data, hightech or financial industry is beneficial but not mandatory
Experience in data analytics or related area

Education:

Essential:

Advanced university degree in Computer Vision (CV), Natural Language Processing (NLP), Speech Processing, Multimodal AI, Generative AI, or a closely related field

Desirable: