Machine Learning Engineer
Location | Dar es Salaam, Tanzania, United Republic of |
Date Posted | May 15, 2024 |
Category | Engineering |
Job Type | Full-time |
Currency | TZS |
Description
About the job
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.
We’re a team of over 450 people focused on Digital Retail, spanning 30 different nationalities, with a mission: reinventing local shopping worldwide.
Are you ready to join us?
ROLE & ACTIVITIES
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 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.
SKILLS WE ARE SEARCHING FOR
- 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.
TO FEEL AT HOME IN SHOPFULLY YOU SHOULD
- ACT AS AN OWNER: no challenge is too big for you! We set clear goals and finish what we start. We go the extra-mile and fix what doesn't work: that's how we achieve great results.
- RELY ON DATA: let the data do the talking, so we think, plan and act supported by fact checked data and we value calculated risk taking. We measure our success to keep improving.
- PLAY TOGETHER: magic happens in teams! That’s why we communicate clearly and support each other. We believe in sharing helpful feedback and building trust. Together we are unstoppable.
WE OFFER
- An opportunity to build your experience in an internationally growing scale-up company
- A young and informal work environment
- Flexible work arrangements encouraging smart and/or full-remote working
- Company laptop and all you need to set up a proper home-working station
- 1.5 hour of Learning Time per week
- Gross Annual Salary range, according to the seniority level and expertise: between 35.000€ and 45.000€.