Junior Machine Learning Engineer

Summary

Join OLX's Real Estate Data Science team and contribute to building sustainable trade through innovative data solutions. You will develop and deploy machine learning models for various applications, including behavioral classification, image classification, and value estimation. Collaborate with cross-functional teams, including engineering, product, and analytics, to deliver impactful solutions. The role involves working with real estate platforms across the EU, utilizing Python and AWS. You will have the opportunity to experiment, test, and see your work directly impact the business. This position offers a permanent contract with a competitive salary and benefits package.

Requirements

• At least 1 year of professional experience as a machine learning engineer
• Good knowledge of the best engineering practices
• Experience bringing machine learning models into production
• Good engineering background: excellent knowledge of Python, exposure to other programming languages (Kotlin, Java, etc)
• Good understanding of AWS and experience using AWS for deploying machine learning solutions
• Experience in using machine learning frameworks in production settings: Scikit-Learn, TensorFlow (or similar)

Responsibilities

• Work in the Data Science team from a platform and marketplace perspective
• You will help build models, refine them for optimal performance, test them, and eventually deploy them to production
• 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, Bulgaria, Romania, Poland, Ukraine, Kazakhstan, and Uzbekistan
• Most importantly, you will have fun working with us :)

Preferred Qualifications

• Experience with serving machine learning models at scale
• Experience with building data pipelines using tools like Spark and Airflow
• Exposure to production infrastructure and best DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (Grafana, Prometheus, Kubernetes, Terraform

Benefits

• Permanent contract (we are not offering a B2B option)
• Salary + annual bonus up to 10% of your annual gross salary
• IP Rights’ Costs (tax-deductible costs up to 70%)
• Work with and impact all OLX websites across Europe
• Train and conference budget, and free access to Udemy courses
• A benefits package with 300 points on the Mybenefit platform per month, private medical care provided by PZU Zdrowie, Ask Henry services, and much more
• 100% remote work (and the possibility to work from our offices in Poznan and Warsaw)