Machine Learning Engineer
Machine Learning Engineer
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Job Description
Who were looking for
As aMachine 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.
What youll do
- 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 companys 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.
What youll need
- 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
Benefits & Perks
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 ...)
Main Contact
About us
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 weve 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.
Were 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 thats the right place for you.
TO FEEL AT HOME IN SHOPFULLY:
AMBITION:We aim high design 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 thoughtfoul execution - knowing when to act quickly and when to pause for critical decision.
Are you ready to join us
Employment Type
Full-Time
