Recommendation Engineer
Frost Hub · Netherlands
- Type: contract
- Location: region — Europe
- Compensation: ZAR 115476–164712
- Timezone: UTC+9
About the role
About the Role
We are looking for a talented Recommendation Engineer.
Requirements
- dbt - PyTorch - Kafka - 4+ years experience - Remote-first mindset
Benefits
- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance
What You Will Do
As a Recommendation Engineer, you will leverage your expertise in dbt to transform and prepare large datasets for our recommendation systems. You will design, implement, and deploy cutting-edge recommendation algorithms using PyTorch, focusing on deep learning models to personalize user experiences. Responsibilities also include building and maintaining robust data pipelines with Kafka, ensuring real-time data ingestion and processing for dynamic recommendation updates.
Why Join Us
Join a collaborative and innovative team passionate about leveraging data to create exceptional user journeys. We foster a culture of continuous learning and provide opportunities to work with state-of-the-art technologies, including extensive application of PyTorch and Kafka for scalable solutions. This remote contract offers the flexibility to contribute to impactful projects from anywhere within the region, with a competitive salary reflective of your specialized skills.
Who You Are
You are a data-driven problem-solver with a strong analytical mindset and a knack for translating complex data into actionable insights. You thrive in environments where you can experiment with advanced machine learning techniques, particularly with PyTorch, and you have hands-on experience building reliable data infrastructure using dbt and Kafka. Your communication skills are excellent, and you're adept at explaining technical concepts to diverse audiences, making you a valuable asset to our team.
Required skills
- dbt
- PyTorch
- Kafka
About Frost Hub
Frost Hub builds innovative media solutions for global teams.