THE ROLE..
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 are linked to Data Platform activities, Recommending systems, NLP for text classification, NER, duplicate matching.
HERE ARE SOME EXAMPLES:
• Autonomy to work on data pipelines, AWS, Spark, MLOps and the implementation of models in production environments;
• Capability to work on organic content, reinforced learning, recommending & enriching and… deduplicating core content information using advanced NLP models;
• Transformers and specific models such as BERT for text classification and Stanford NER or spaCy for high-accuracy entity recognition.
THIS IS WHAT YOU BRING ALONG:
• MLOps : Fully autonomous in building the data pipelines needed to make the ML solutions work;
• Recommending Systems: proven experience (previous projects, academic works..) in building recommendation engines such as collaborative, content-based, knowledge based filtering based on available libraries like Surprise, LightFM, Implicit etc.;
• NLP: advanced knowledge of the most popular implementations for entity detection and classification such as BERT. Knowledge of generative AI models;
• Image and content: knowledge of Computer Vision architectures for object detection / semantic segmentation tasks and end-to-end document understanding / parsing techniques.
DRESDEN | BERLIN | ESSEN | VIENNA | SOFIA | MILANO | BARCELONA
BECOME PART OF OUR TEAM AND SHAPE WITH US.
We are visionaries, betterers and thinkers. With dedication we design the digital shopping world of tomorrow. Already known as the market leader in digital retail marketing in the DACH area, our state-of-the-art products provide international digital coverage and store visits to retailers. The achievements fill us with pride, the future spurs us on. We are Offerista – and we are looking for bright minds that will make us even better.
P.S. Don't be afraid to share this with your friends or co-workers – We are a growing business with many opportunities.
• #diversity&inclusion – be YOURSELF and get involved in our #nondiscrimination corporate culture with flat hierarchies, openness and a lot of genuinely nice and decent people.
• #lean – lean, agile and highly dynamic working environment with various activities and plenty of room for creativity and co-designing our common path.
• #personalgrowth – we support you to develop your own personal Offerista Development Plan, workshops, trainings and regular feedback.
• #officegoals – work in modern, playful and centrally located offices, ergonomically equipped and with daily fresh fruits, vegetables & yogurt as well as a tea and coffee flatrate with your favorite milk (vegan-friendly).
• #stateoftheart – laptop, keyboard, screen? Here you get the latest technical equipment.
• #100%flexible – flexible working time models, trust-based working time, mobile working arrangements as well as the possibility of a sabbatical.
• #teamfuckingawesome – experience legendary team events and celebrations with us, such as our annual summer party or our Christmas event (Covid friendly).
• #familyfirst – bring your child and dog to the office and let us support you with an allowance for your childcare.
• #corporatebenefits – receive exclusive discounts with various providers.
• #sustainability – we are climate neutral! But there's still more to do! Get involved as an #orangeofficer to make Offerista even more sustainable
Company: Offerista Group GmbH
Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)
Tagged as: Industry, Italy, Machine Learning, NLP, Parsing, Recommendation System
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