4 379 Posti di lavoro per Informatica E Software in Italia

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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.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and / or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF JOB

The AI Machine Learning Research & Development Engineer role is responsible for the design, development and implementation of machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate AWS services, Docker, ML Flow, and other tools. The role also includes responsibility for following best practices to optimize and measure the performance of our models and algorithms against business goals.

MAIN DUTIES

• The following is a non-exhaustive list of responsibilities and areas of ownership of an AI / ML R&D Engineer:
• Design and develop machine learning models and algorithms for localization and business workflow processes, including machine translation, LLM finetuning, and quality assurance.
• Take ownership of key projects from definition to deployment, ensuring they meet technical requirements and maintain momentum until delivery.
• Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems.
• Implement and optimize machine learning models using Python, TensorFlow, and other relevant tools and frameworks.
• Perform statistical analysis and fine-tuning based on test results.
• Deploy machine learning models using techniques such as containerization with Docker and deployment to cloud infrastructure.
• Utilize AWS technologies (Sagemaker, EC2, S3) to deploy and monitor production environments.
• Stay updated with developments in the field and dedicate efforts to continuous learning.
• Document experiments, design, and deployment processes thoroughly and communicate effectively with stakeholders.
• Define and design solutions for machine learning problems, with guidance from senior engineers for system integration.
• Success indicators include accurate and efficient models, positive team collaboration, continuous learning, clear communication, and ethical AI development.

REQUIREMENTS

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field; PhD is a plus.
• Minimum 3+ years of experience as a Machine Learning Engineer or similar role.
• Strong proficiency in Python for production-grade coding.
• Excellent communication and documentation skills.
• Deep knowledge of machine learning techniques, including supervised, unsupervised, deep learning, and reinforcement learning.
• Hands-on experience with frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Experience with NLP techniques and tools.
• Ability to explain complex technical concepts to non-technical stakeholders.
• Experience managing projects from conception to deployment and mentoring juniors.
• Proficiency with AWS services (EC2, S3, Sagemaker, SNS) and deployment strategies, including Docker and GPU deployments.

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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.

About Vita Health

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

Bonus Points For

What We Offer

Recruiting Process

About Vita Health

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 sector , where we began, but also in corporate wellness by integrating into corporate partnerships 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:

1. Design and implement the core ML systems behind a new health intelligence initiative, balancing rule-based and ML-based approaches.
2. Translate complex user behaviours (nutrition, training, physical activity, sleep, engagement, etc.) into actionable, data-driven insights.
3. Own the entire ML lifecycle: from data exploration and feature engineering to model deployment and monitoring.
4. Build data-ingestion flows and automated training jobs on AWS.
5. Work closely with cross-functional stakeholders, including Product, Engineering, Design, and Health Experts, to define meaningful signals and feedback loops.
6. Ensure a high level of transparency and explainability so our users can understand and trust the results.
7. 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 problem-solving 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

• 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 .

Recruiting Process

• 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.

Social network you want to login/join with:

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).

Social network you want to login/join with:

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.