4 372 Posti di lavoro per Informatica E Software in Italia

Per una delle Società del Gruppo siamo alla ricerca di un leader tecnologico di alto livello per guidare la nostra funzione di Architetture e Sviluppo Software. Il candidato ideale sarà responsabile della definizione, implementazione e mantenimento di architetture software robuste, scalabili e allineate agli obiettivi aziendali. In questo ruolo chiave, sarà responsabile della visione architetturale, della governance tecnica e del coordinamento dei team di sviluppo, promuovendo innovazione, qualità e collaborazione.

Sede: Milano Tipo di contratto: tempo indeterminato

• Sviluppare e comunicare una visione chiara e coerente dell'architettura software aziendale, tenendo conto delle esigenze attuali e future.
• Definire standard architetturali, linee guida e best practice per garantire la coerenza e la qualità del software.
• Valutare nuove tecnologie, tendenze del settore e metodologie di sviluppo per identificare opportunità di miglioramento.

• Guidare e motivare un team di sviluppatori e ingegneri.
• Promuovere una cultura di eccellenza tecnica, collaborazione e apprendimento continuo.
• Fornire mentoring tecnico e supporto ai membri del team.
• Gestire le performance del team, definendo obiettivi chiari e fornendo feedback costruttivo.

• Supervisionare la progettazione di architetture software complesse, garantendo scalabilità, affidabilità, sicurezza e manutenibilità.
• Collaborare con i Product Manager e altri stakeholder per comprendere le esigenze aziendali e tradurle in soluzioni tecniche.
• Valutare e selezionare tecnologie, framework e strumenti di sviluppo appropriati.
• Garantire che le architetture siano allineate agli standard di sicurezza e conformità.

• Supervisionare il ciclo di vita completo dello sviluppo software, dalla progettazione all'implementazione, al test e alla manutenzione.
• Promuovere l'adozione di metodologie Agile/DevOps per accelerare i tempi di consegna e migliorare la qualità del software.
• Definire e monitorare metriche chiave per misurare le performance del team di sviluppo.

• Lavorare a stretto contatto con i Product Manager, il team di Operations e altri stakeholder per garantire l'allineamento tra le esigenze aziendali e le soluzioni tecniche.
• Comunicare efficacemente la visione architetturale a un pubblico tecnico e non tecnico.
• Partecipare attivamente alla definizione della roadmap tecnologica aziendale.

• Laurea in Informatica, Ingegneria del Software o discipline affini.
• Almeno 10 anni di esperienza nello sviluppo software, con forte focus sulla progettazione architetturale.
• Comprovata esperienza nella leadership di team tecnici e nella gestione di progetti complessi.
• Profonda conoscenza di architetture software moderne, come microservizi, API-first design e cloud-native development.
• Esperienza con diverse tecnologie di sviluppo, tra cui linguaggi di programmazione (Java, C#.NET), database (MS-SQL, Oracle) e framework per realizzazione di interfacce utente (Angular).
• Familiarità con metodologie Agile/DevOps e strumenti di CI/CD (Continuous Integration/Continuous Delivery).
• Spiccate doti di leadership, comunicazione, problem solving.
• Inglese fluente scritto e parlato.

• Certificazioni rilevanti (es. AWS Certified Solutions Architect, TOGAF).
• Esperienza in settori specifici (es. ticketing, e-commerce, fintech).
• Contributi a progetti open source o community tech.
• Esperienza nello sviluppo o nell’integrazione di soluzioni basate su Intelligenza Artificiale.

• Un ruolo chiave in un’azienda leader nel proprio settore.
• La possibilità di avere un impatto significativo sulla direzione tecnologica dell'azienda.
• Un ambiente di lavoro stimolante e collaborativo.

Contract Type

Permanent

Country

ITALY

Location

Parma

Your opportunity

We are seeking a talented and motivated Generative AI & Machine Learning Engineer to join our international team of Advanced Data Analytics. In this role, you will lead significant projects focused on Generative AI and Machine Learning, driving innovation and excellence in our initiatives. As a key member of our team, you will contribute to the development of highly efficient digital solutions tailored for the beverage market. Your expertise will be instrumental in leveraging advanced algorithms and data-driven insights to enhance our product offerings and optimize operational processes.

Your Mission

Role

This role is crucial for driving innovation and developing breakthrough digital products for the beverage industry. You will be at the forefront of integrating cutting-edge Generative AI solutions into our product roadmap, directly impacting the value we deliver to our customers. Your missions will include:

• Lead and manage projects related to Generative AI and Machine Learning
• Develop and implement state-of-the-art Generative AI models for various applications within the beverage industry (e.g., personalized experiences, predictive maintenance, content creation).
• Collaborate with data scientists, data engineers, and other team members to identify opportunities and translate business needs into technical solutions.
• Analyze complex datasets to extract valuable insights and drive decision-making
• Design and execute experiments to evaluate model performance and optimize for accuracy, efficiency, and scalability.
• Stay up-to-date with the latest research and advancements in Generative AI and deep learning.
• Contribute to the development of our AI/ML infrastructure and best practices.
• Communicate technical concepts effectively to both technical and non-technical audiences.
• Participate in code reviews and contribute to the overall strategy and vision for AI/ML within the company.
• Contribute to the overall strategy and vision for AI/ML within the company.
  
  

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Every day, our ingestion system receives more than 100 million events from our users.

As a Machine Learning Engineer, your mission is to elevate Retail with AI-Driven Solutions.

The final goals are to transform the retail strategy with our AI-powered platform, designed to curate the finest deals and streamline product discovery for consumers, and empower global marketing efforts with automation and personalized content that resonates with shoppers.

Since you will be working in a highly collaborative environment, you will cooperate with Data and Software Engineers, Data Scientists, and Product Managers.

Your main responsibilities include:

• Information Extraction and Enrichment from unstructured content
• Data Platform activities (e.g., ETLs, ELTs)
• Multi-Modal Extreme classification
• Semantic Similarity in a Multi-Modal setting
• Recommendation systems

Examples of tasks:

• Work independently on data pipelines, write SQL queries, process data using Pandas, Polars, or Spark, and follow good MLOps practices to develop and deploy AI models serving over 100k predictions daily.
• Design and develop AI solutions from problem definition to deployment, processing unstructured content like images and text to extract valuable data.
• Maintain and improve extensive Python codebases, adhering to internal coding standards.
• Stay updated with advancements in AI, integrating new architectures or open-source models to add value for clients.

• Proficient in Python, with experience in Pytorch, Pandas, FastAPI/Flask, HuggingFace ecosystem, and strong software engineering skills.
• Autonomous in building data, modeling, and deployment pipelines (MLOps).
• Advanced knowledge of NLP and Generative AI, including Transformers, GPT, and projects like text classification, NER, caption generation, and unstructured data extraction.
• Solid understanding of neural architectures in Computer Vision, such as YOLO, and experience with Multi-Modal Language and Vision-Language Models.
• Knowledge of Search engines like OpenSearch or Elasticsearch is a plus.
• Experience with recommendation engines (collaborative, content-based, knowledge-based filtering) using deep learning or libraries like Surprise, LightFM, Implicit is beneficial.

Shopfully is a leader in Drive To Store solutions, connecting millions of shoppers with local stores, helping save time and money, and supporting retailers and brands throughout the customer journey.

Reaching over 200 million users globally through websites, apps, publishers, and digital platforms, and partnering with over 500 top retailers and brands across 25 countries, we continue to grow and innovate.

Our recent partnership with Flipp expands our presence into the US and Canadian markets, aiming to revolutionize digital merchandising.

Join our diverse team of over 450 professionals from 30 nationalities, dedicated to reinventing local shopping worldwide.

To feel at home at Shopfully, embody ambition, truth-seeking, collaboration, and speed—striving for high impact, openness, teamwork, and agility.

Company description
Publicis Groupe
Fondata nel 1926 da Marcel Bleustein-Blanchet, Publicis Groupe è oggi il primo gruppo di comunicazione al mondo. Presente in Italia con tre sedi - Milano, Torino e Roma - e oltre 1500 professionisti, il Gruppo agisce come partner strategico per la crescita dei propri clienti, offrendo un'ampia gamma di competenze e soluzioni integrate nelle aree della creatività, media, produzione e business transformation.
Overview
Questa figura avrà un ruolo cruciale nell'utilizzare i dati e la modellazione avanzata per ottimizzare le strategie di marketing e migliorare le performance dei clienti.
Supporterà il team Data nell'identificazione dei principali bisogni dei clienti e nella progettazione di soluzioni tecniche mirate a soddisfare tali esigenze.
Il Machine Learning Engineer sarà responsabile dello sviluppo, della documentazione e della messa in produzione di prodotti finalizzati a risolvere le sfide assegnate, in collaborazione con i team di sviluppo, tecnico e di modellazione, nonché con gli stakeholder rilevanti per ciascun prodotto.
Responsibilities
* Implementare modelli per la segmentazione dell'audience, la personalizzazione degli annunci, l'ottimizzazione del budget e l'attribuzione
* Collaborare con i team marketing e data per definire KPI e identificare insight utili e azionabili
* Sviluppare strumenti e dashboard per visualizzare i risultati dei modelli e i principali indicatori di performance delle campagne
* Garantire la qualità, la scalabilità e l'applicabilità in tempo reale dei modelli negli ambienti di produzione
* Rimanere aggiornato sulle ultime ricerche nel campo del Machine Learning applicato al digital marketing e alle tecnologie pubblicitarie
In altre parole andrai a:
* Sviluppare, testare e mantenere soluzioni di machine learning in collaborazione con il Data Sciences Lead, il team di sviluppo e i clienti interni ed esterni, utilizzando l'infrastruttura di sistema dell'agenzia per offrire un servizio professionale di alto livello
* Analizzare le sfide, progettare soluzioni e proporre applicazioni personalizzate e innovative delle tecniche di modellazione avanzata, a supporto della proposta dell'agenzia e del suo vantaggio competitivo, individuando anche potenziali nuove fonti di ricavo
* Redigere e presentare documentazione che descriva le soluzioni sviluppate, affinché clienti e stakeholder interni possano massimizzare il valore dei prodotti basati su machine learning
Qualifications
* 2-3 anni di esperienza in una posizione simile, con esperienza nella modellazione per il marketing, incluse tecniche non basate su machine learning (es. Marketing Mix Modeling)
* Conoscenza di Python o R e dei principali framework di Machine Learning (es. TensorFlow o PyTorch)
* Competenze in statistica, tecniche di modellazione e analisi dei dati
* Esperienza con piattaforme pubblicitarie (es. Google Ads, Meta, DV360) e dataset di marketing
* Familiarità con SQL e strumenti di data visualization (es. Looker, Tableau, Power BI)
* Capacità di problem solving
* Attitudine proattiva ("can-do attitude")
* Agio nel lavorare in ambienti flessibili e con team agili
* Capacità di comunicare risultati tecnici complessi a stakeholder non tecnici
* Conoscenza della lingua inglese
* Laurea o titolo superiore in discipline legate al machine learning come matematica, statistica o informatica
Additional information
Cosa offriamo:
* Learning & Development: un percorso di apprendimento su misura, un approccio individuale e basato sui propri bisogni, always on!
* Corporate benefits: una piattaforma dedicata alle nostre persone, piena di offerte, sconti e altro.
* Corporate Wellness: accesso a corsi di formazione online per il tuo benessere fisico e psicologico.
* Work From Home: 2 giorni alla settimana.
Il nostro motto di Publicis Groupe "Viva La Différence".
Ci impegniamo nella creazione di esperienze eque e inclusive per tutti i talenti.

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Vita Health is a dynamic startup in the health, nutrition, and fitness industry. Our innovative product has positively affected the lives of over 130,000 people in our core market, and we are now eager to expand our expertise and reach globally.

Our mission is to enhance our presence not just in the B2C sector, where we began, but also in B2B by integrating into corporate welfare programs for both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of a healthy lifestyle , demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore.

By utilising AI and algorithms , we create personalised diet and training plans tailored to user inputs during onboarding, which adapt continuously to reflect their progress. Our dedicated team of nutritionists and personal trainers is committed to guiding users throughout their journey to help them reach their goals.

If you're passionate about transforming lives, join Vita Health!

About The Role

We’re hiring our first Machine Learning Engineer to spearhead a new strategic initiative aimed at modelling individual health progress and behaviour in a more intelligent, personalised, and explainable way.

This role is a rare opportunity to lay the technical and strategic foundation for how we assess and support our users’ wellness journeys through data. You’ll work at the intersection of health science, behavioural modelling, and machine learning, bringing innovative ideas to life, backed by real-world impact.

Your responsibilities will include:

• ? Design and implement the core ML systems behind a new health intelligence initiative, balancing rule-based and ML-based approaches.
• ? Translate complex user behaviours (nutrition, training, physical activity, sleep, engagement, etc) into actionable, data-driven insights.
• ? Own the entire ML lifecycle: from data exploration and feature engineering to model deployment and monitoring.
• ?️ Build data-ingestion flows and automated training jobs on AWS
• ? Work closely with cross-functional stakeholders, including Product, Engineering, Design, and Health Experts, to define meaningful signals and feedback loops.
• ? Ensure a high level of transparency and explainability so our users can understand and trust the results.
• ? Help define the long-term ML roadmap—including opportunities in personalisation, recommendations, and behavioural nudging.

What You’ll Bring

• ? 5+ years of experience in applied machine learning , with strong foundations in algorithm design and data pipelines.
• ?️ Vision to architect and evolve our entire ML tech stack—from experimentation frameworks and data pipelines to deployment and MLOps infrastructure.
• ? Experience building and deploying ML solutions in production environments .
• ? Passion for interpretable models and turning complexity into simplicity for end users.
• ? Ability to independently own projects from data exploration to delivery.
• ? Experience working closely with product and domain experts to define and refine model objectives.

Bonus Points For

• ? Domain experience in health, fitness, or behavioural science
• ? Experience with consumer-facing product integrations
• ? Experience in a startup or fast-paced product environment

What We Offer

• ? €39,000 – €47,000 based on experience
• ?️ Autonomy and flexibility. Work from wherever you want, with the option to visit our modern Milan office.
• ? Personalised learning budget with the possibility to have dedicated learning time weekly .
• ? A dynamic work environment where your ideas will directly influence our strategies and product development.
• ? Leadership committed to your career progression
• ️ A unique opportunity to create a significant impact in the health sector
• ? Asynchronous Assessment : Evaluate your reasoning abilities, logical and critical thinking, and behaviour in challenging situations.
• ? Assessment Review : We’ll discuss your test results to understand your thought process.
• ? Technical Evaluation : A technical assessment tailored to the role.
• ?️ Technical Review : Discuss your approach and reasoning behind your solutions.
• ? Cultural Fit Interview : Ensure your values align with our company culture to help everyone thrive.

Bari, Italy

Ruolo Data Scientist / Machine Learning Engineer

Stiamo cercando un Data Scientist da integrare nel nostro AI Team che abbia voglia sperimentare ed applicare tecnologie di Intelligenza Artificiale e Machine Learning su nuovi ed appassionanti progetti made in Frankhood.

Attività: progettazione e implementazione di modelli matematico-statistici e di algoritmi di intelligenza artificiale.

Si richiede comprovata esperienza lavorativa e ottime conoscenze riguardo tematiche di:
- data analysis avanzata, tra le quali modellazione, analisi predittiva, statistica, machine learning e algoritmi cognitivi;
- data mining, tra le quali progettazione e interfacciamento a basi dati relazionali e non, data visualization, analisi semantica.

Skill richieste:
- Conoscenza approfondita del linguaggio di programmazione Python;
- Conoscenza approfondita dei principali framework per il Machine Learning e Deep Learning (TensorfFlow, SciKit-Learn, Theano, PyTorch, Keras, Pandas, Numpy, .);
- Conoscenza di librerie e framework per la data-visualization come ad esempio MatPlotLib, Bokeh e Plotly;
- Ottima comprensione della teoria relativa alle reti neurali profonde;

La conoscenza dei seguenti strumenti e framework è gradita:
- DBMS non relazionali per la gestione di big data, come Apache Cassandra, MongoDB, MS Azure CosmosDB, Amazon DynamoDB, Google Cloud DataStore;
- Framework per il calcolo distribuito come Apache Spark, Apache Hadoop, Apache Kafka, Apahce Hive
- Django web framework e Django REST Framework

Descrizione Azienda:

IBS è una innovativa realtà nel mondo dell'IT: la sua flessibilità produttiva consente di soddisfare qualunque tipo di richiesta in ambito Bancario & Finanza, Telecomunicazioni ed Energia ed attraverso lo sviluppo delle tecnologie più avanzate riesce a realizzare progetti all'avanguardia.

Posizione:

IBS è alla ricerca, per integrazione del suo organico, per la sede di Napoli, una figura di Full Stack Java Developer Senior per inserimento nel team di sviluppo.

Requisiti:

Almeno 5 anni di esperienza.

Conoscenza dei seguenti linguaggi di programmazione: JAVA 8 STANDARD EDITION e JAVA ENTERPRISE EDITION.

Conoscenza di database: Postgre SQL, Sql Server, Oracle, My Sql e Mongo DB.

Conoscenza necessaria di framework Spring Boot, Richfaces, JSF e/o Angular.

Conoscenza di EJB (Enterprise JavaBeans).

Buona conoscenza della lingua inglese (writing e reading).

Attitudine alla comunicazione, al coinvolgimento nel lavoro di squadra.

Buone doti relazionali e organizzative, dinamicità, creatività e forte orientamento al raggiungimento degli obiettivi.

Offerta:

-CCNL Metalmeccanico.

-Ral a partire da 35K.

-Settimana lavorativa di 4 giorni.

-Piani di welfare.

-Assistenza sanitaria.

-Notebook aziendale.

-Percorsi di aggiornamento e conseguimento di certificazioni attinenti all'ambito della tecnologia di appartenenza.

Candidarsi se:

Sei appassionato/a di tecnologia e cerchi un'opportunità che ti consenta di crescere professionalmente su tecnologie moderne.

Non inventiamo, miglioriamo!

Il trattamento dei dati personali dei candidati avverrà in ottemperanza alla vigente normativa in materia di protezione.

Le selezioni sono aperte e rivolte ad ambo i sessi (d.lgs. n° 198/2006).

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Vita Health is a dynamic startup in the health, nutrition, and fitness industry. Our innovative product has positively affected the lives of over 130,000 people in our core market, and we are now eager to expand our expertise and reach globally.

Our mission is to enhance our presence not just in the B2C sector, where we began, but also in B2B by integrating into corporate welfare programs for both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of a healthy lifestyle , demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore.

By utilising AI and algorithms , we create personalised diet and training plans tailored to user inputs during onboarding, which adapt continuously to reflect their progress. Our dedicated team of nutritionists and personal trainers is committed to guiding users throughout their journey to help them reach their goals.

If you're passionate about transforming lives, join Vita Health!

About The Role

We’re hiring our first Machine Learning Engineer to spearhead a new strategic initiative aimed at modelling individual health progress and behaviour in a more intelligent, personalised, and explainable way.

This role is a rare opportunity to lay the technical and strategic foundation for how we assess and support our users’ wellness journeys through data. You’ll work at the intersection of health science, behavioural modelling, and machine learning, bringing innovative ideas to life, backed by real-world impact.

Your responsibilities will include:

• ? Design and implement the core ML systems behind a new health intelligence initiative, balancing rule-based and ML-based approaches.
• ? Translate complex user behaviours (nutrition, training, physical activity, sleep, engagement, etc) into actionable, data-driven insights.
• ? Own the entire ML lifecycle: from data exploration and feature engineering to model deployment and monitoring.
• ?️ Build data-ingestion flows and automated training jobs on AWS
• ? Work closely with cross-functional stakeholders, including Product, Engineering, Design, and Health Experts, to define meaningful signals and feedback loops.
• ? Ensure a high level of transparency and explainability so our users can understand and trust the results.
• ? Help define the long-term ML roadmap—including opportunities in personalisation, recommendations, and behavioural nudging.

What You’ll Bring

• ? 5+ years of experience in applied machine learning , with strong foundations in algorithm design and data pipelines.
• ?️ Vision to architect and evolve our entire ML tech stack—from experimentation frameworks and data pipelines to deployment and MLOps infrastructure.
• ? Experience building and deploying ML solutions in production environments .
• ? Passion for interpretable models and turning complexity into simplicity for end users.
• ? Ability to independently own projects from data exploration to delivery.
• ? Experience working closely with product and domain experts to define and refine model objectives.

Bonus Points For

• ? Domain experience in health, fitness, or behavioural science
• ? Experience with consumer-facing product integrations
• ? Experience in a startup or fast-paced product environment

What We Offer

• ? €39,000 – €47,000 based on experience
• ?️ Autonomy and flexibility. Work from wherever you want, with the option to visit our modern Milan office.
• ? Personalised learning budget with the possibility to have dedicated learning time weekly .
• ? A dynamic work environment where your ideas will directly influence our strategies and product development.
• ? Leadership committed to your career progression
• ️ A unique opportunity to create a significant impact in the health sector
• ? Asynchronous Assessment : Evaluate your reasoning abilities, logical and critical thinking, and behaviour in challenging situations.
• ? Assessment Review : We’ll discuss your test results to understand your thought process.
• ? Technical Evaluation : A technical assessment tailored to the role.
• ?️ Technical Review : Discuss your approach and reasoning behind your solutions.
• ? Cultural Fit Interview : Ensure your values align with our company culture to help everyone thrive.

We’re building our AI Factory , the engine of RINA 's digital innovation and we’re looking for 100+ talented professionals from around the world to join us!If you’re a Software Engineer, AI Expert, Cloud Architect, UX/UI Designer, Digital Product Owner, or Innovation Business Owner, this is your opportunity to make an impact.Join a vibrant, global team where creativity and knowledge fuel every breakthrough.

Ready to innovate with us?

Mission

We are currently recruiting for Generative AI & Machine Learning Engineers to join our offices in Rome / Genoa / Naples / Bari / Milan within the Digital Technology and Cybersecurity Division.

The mission of this role is to design, develop, and deploy cutting-edge generative AI solutions on the Azure platform. The successful candidate will leverage Azure's AI tools and services to create innovative applications that drive business growth and efficiency.

Key Accountabilities

• Solution Design & Development: Design and develop generative AI models and algorithms using Azure Cognitive Services, Azure OpenAI, and Azure Machine Learning.
• AI Model Training: Fine-tune and optimize pre-built generative models or develop custom solutions for NLP, image generation, and other AI applications.
• Cloud Integration: Implement end-to-end AI solutions, integrating them with existing cloud infrastructures and leveraging Azure services such as Azure Data Lake, Azure Functions, and Azure DevOps.
• Deployment & Monitoring: Deploy AI models in production environments, ensuring scalability, security, and high performance. Utilize Azure’s monitoring tools to track model performance and optimize for efficiency.
• Collaboration: Work closely with data scientists, cloud architects, and product teams to translate business requirements into technical solutions.
• Innovation: Stay updated with the latest trends in AI and cloud technology, continuously improving and adapting the AI solutions to enhance business capabilities.
  
  

• Programming Languages: Advanced proficiency in Python, with experience in using AI/ML libraries (e.g., PyTorch, TensorFlow).
• Azure AI Services: Strong knowledge of Azure OpenAI, Cognitive Services, and Azure Machine Learning.
• Cloud Architecture: Solid understanding of cloud architecture, especially within the Azure ecosystem (Azure Functions, Azure DevOps, Azure Kubernetes Services).
• DevOps Practices: Experience with DevOps practices for AI deployment (CI/CD pipelines, containerization).
• Generative Models: In-depth experience with models like GPT-4, Llama, including fine-tuning and customization.
• NLP Techniques: Experience in natural language processing and text generation patterns.
  
  

• Advanced Python Development: Knowledge of best practices, frameworks, and code optimization.
• Teamwork: Excellent communication and collaboration skills.
• Problem Solving: Analytical skills to tackle complex issues.
• Certifications: Microsoft Certified: Azure AI Engineer Associate or similar certifications.
  
  

• CLIENT INTIMACY - Embrace internal and external client needs, expectations, and requirements to ensure maximum satisfaction
• EARN TRUST - Take everyone's opinion into