Role overview
*WELCOME TO OLX
At OLX, we work together to build a more sustainable world through trade**.
We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. Our colleagues around the world help to serve millions of people around the world every month, through its well-loved consumer brands including OLX, Otodom, AutoTrader, Property24.
What you'll work on
- Work in the Data Science team, focusing on building the automated pricing engine for all our platforms.
- You will help build the infrastructure needed to create agents as well as models, refine them for optimal performance, test them, and eventually deploy them to production.
- You will see your work in action and measure the true impact of your models on our platform.
- You will maintain strong relationships with stakeholders. This involves asking numerous questions to business people and translating their requirements into achievable projects. It also means collaborating with other teams, like infrastructure and data engineering, to get things done in an efficient and elegant manner.
- Partner with Engineering and Product to deliver solutions (customer-facing and platforms) to our customers (internal and end customers)
- Work with Product Analytics to track the KPIs of different ML use cases and measure the impact on our customers.
- Collaborate with the Experimentation team to integrate the KPIs and their proxies into the Experimentation (A/B testing) platform.
- You will work in multi-functional teams, in a diverse, multinational environment, filled with people from Portugal, Poland, Germany and Romania.
- Most importantly, you will have fun working with us :)
What we're looking for
- Strong knowledge of GenAI and LLMs (you are able to deploy multi-agent systems as well and tracking their performance in Production)
- Exposure to MLOps tools
- Exposure to production infrastructure and best DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (Grafana, Prometheus, Kubernetes, Terraform
- Understanding of A/B testing and experimentation
Interview process
- Recruiter Interview
- Hiring Manager Interview
- Live Coding Interview
- System Design Interview
Tags & focus areas
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