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Machine Learning Engineer

Shopfully

Italia

In loco

EUR 35.000 - 40.000

Tempo pieno

6 giorni fa

Candidati tra i primi

Descrizione del lavoro

An innovative technology company is seeking a Machine Learning Engineer to enhance retail strategies through AI-driven solutions. You'll be responsible for developing AI models, managing data pipelines, and collaborating with a talented team. The role offers a dynamic work environment with flexible hybrid work options, focused on rapid execution and continuous learning.

Servizi

Flexible working hours

Learning opportunities

Modern office with snacks

Team events and celebrations

Competenze

Proficient in writing SQL queries and working on data pipelines.
Advanced knowledge of neural network architectures such as Transformers.
Experience with MLOps and productionizing AI models.

Mansioni

Elevate Retail with AI solutions and transform retail strategy.
Cooperate with Data and Software Engineers, Data Scientists, and Product Managers.
Manage and improve extensive Python codebases.

Conoscenze

Python

Pytorch

Natural Language Processing

Computer Vision

SQL

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Talent Acquisition Specialist @ ShopFully

Shopfully is the tech company leader in Drive To Store that connects millions of shoppers with the stores around them. We help people save time and money and make smarter shopping decisions and we support retailers and brands engaging with consumers throughout the customer journey, from online research to in-store shopping.

With our proprietary websites and apps, a network of publishers and digital platforms and our proprietary tech solutions, we reach 200 millions users globally.

We joined MEDIA Central Group in 2023 and we are now a partner to over 500 top retailers and brands in 25 countries across Europe , Australia and Latin America .

But we keep on growing, as a matter of fact, we’ve recently teamed up with Flipp, landing into the US and Canadian markets, with the aim of creating an advanced digital merchandising network that will revolutionize how retailers and brands with consumers.

We’re a team of over 450 people focused on Digital Retail, spanning 30 different nationalities, with a mission : reinventing local shopping worldwide.

If you want to work in a fast-growing and international environment, that’s the right place for you.

Are you ready to join us?

AMBITION : we aim high, designing solutions that create real value. Success is tracked with clear metrics, long-term strategies evolve with changing needs;
TRUTH SEEKING : openness drives progress. We ask questions, share information freely, and embrace feedback to spark fresh ideas and continuous improvement;
COLLABORATION : great things happen together. We value diverse voices, celebrate contributions, and create a safe space for everyone to thrive;
SPEED : we move fast and work smart. Focusing on what matters, we balance speed with thoughtful execution—knowing when to act quickly and when to pause for critical decisions.

A chance to grow in a fast-scaling international company;

A dynamic, informal and inclusive work environment;

We empower you to take full ownership of your work, encouraging autonomy, flexibility and a hybrid work environment;

Learning opportunities & regular feedback sessions;

Modern, central offices with fresh snacks, coffee (vegan options too!) and ergonomic setups;

Team moments that matter : offsites, team aperitivos, company parties and celebrations that bring us together beyond work;

We provide all the equipment you need to work effectively and set up your ideal workspace — wherever you are;

Additional country-specific benefits are provided based on local contracts and practices (i.e. meal vouchers, public transports vouchers, discounts with local partners, pet & family-friendly spaces, ...) — your Recruiter will walk you through them if you move forward in the hiring process.

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 personalised 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 are linked to : 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 and Recommendation systems. Here some examples :

Autonomy to work on data pipelines, writing SQL queries; processing data using Pandas, Polars or Spark. Following good MLOps practices to develop and implement AI models in production environments, serving +100k predictions per day;
Design a novel solution, from the problem to the final deployment stage; Develop AI models to process organic unstructured content such as offer images or text to extract valuable data for our users or clients;
Manage, work on and improve the extensive Python codebases, following the company’s internal code style and guidelines;
Keep up with the pace in the AI space! We tackle hard problems, we make tangible impact, so every advancement in the field, whether it is a new architecture or an off-the-shelf open source model, can bring us and our clients a ton of value! We value knowledge and curiosity, a lot.
Coding : Proficient Python knowledge; Proven experience with Pytorch, Pandas, FastAPI / Flask, HuggingFace models ecosystem. Software Engineering skills are as important as the AI-related ones;
MLOps : Fully autonomous in building the pipelines (data, modelling, deployment) to bring the AI solutions from experiments to production;
Natural Language Processing (NLP) and GenerativeAI : Advanced knowledge of neural network architectures such as Transformers, GPT and proven experience on developing projects in this area (text classification, Named entity recognition, caption generation, unstructured data extraction, etc);
Image and content : Solid Knowledge of neural architectures in the Computer Vision field, such as YOLO; Multi Modal Language Models or Vision Language Models. Proven experience on developing projects in this area (image classification, image-text search, image understanding, image captioning, etc);
Search : OpenSearch or ElasticSearch knowledge is a nice to have;
Recommending Systems : Good to have some proven experience (previous projects, academic works..) in building recommendation engines such as collaborative, content-based, knowledge based filtering based on custom deep learning models or available libraries like Surprise, LightFM, Implicit etc..

LOCATION : We have offices in Milan, Naples, Bologna and Cagliari but you can take advantage of our flexible hybrid mode or decide to work full-remote .

Shopfully will process your personal data for this application as indicated in the Privacy Notice pursuant to Arts. 13 and 14 of Regulation EU 2016 / 679 and that you can view here

Seniority level

Associate

Employment type

Full-time

Job function

Other

Software Development

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