Junior Data Scientist, OLX Group

• At least 1 year of professional experience as a Data Scientist
• At least some knowledge of Generative AI and LLMs (e.g., foundations like Transformed-based architectures, embeddings, etc.)
• Good knowledge of the best engineering practices
• Experience with building data pipelines using tools like Spark and Airflow
• Experience with serving machine learning models at scale
• Strong engineering background: excellent knowledge of Python, exposure to other programming languages (Kotlin, Java, etc)
• Experience in using machine learning frameworks in production settings: Scikit-Learn, TensorFlow (or similar)
• Experience using cloud-based architectures for deploying machine learning solutions
• Proficient in English with excellent written and oral communication skills

Desirable

• As a Junior Data Scientist in the team, you will work with an amazing squad composed of different profiles such as Data Scientists, Engineers, Product Managers, and Analysts
• The team will be focusing on building and deploying disruptive Generative AI video services at scale across all OLX platforms
• The solution should be capable of generating beautifully designed videos based on user-provided content in a cost-efficient manner
• You will be responsible for ensuring that ideas are either deployed to all users or die in production not surviving the validation
• Work in the Data Science team, focusing on LLMs and GenAI, from a platform and marketplace perspective
• You will build models, tinker around them to make them work, test them, and eventually deploy them to production. You will see your stuff in action and you will be able to measure the true impact of your models (less expected, yet a requirement)
• You will maintain strong relationships with stakeholders. This means asking a lot of 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 elegant and timely 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
• Partner 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 :)