Data Scientist - Generative AI

Join OLX Generative AI Data Science Team

We invite you to join us on a critical and exciting mission! Your job will be to build Generative AI video services for all OLX customer units (Motors, Real Estate, Goods, Jobs, and Services).

This is a unique opportunity! You will be part of a strategic movement inside the company, building a team from scratch! A team that will break through walls and build cross-functional connections with everyone around. A team where a common mission and goals matter more than reporting lines. We build on each other, asking for help and support when needed, and we proactively support others.

Responsibilities

As a 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.

• Focus on building and deploying disruptive Generative AI video services at scale across all OLX platforms.
• Ensure that ideas are either deployed to all users or die in production not surviving the validation.
• Iterate quickly, fail fast, learn, and improve.
• Work in the Data Science team, focusing on LLMs and GenAI, from a platform and marketplace perspective.
• Build models, test them, and deploy them to production.
• Maintain strong relationships with stakeholders, translating their requirements into achievable projects.
• Collaborate with other teams, like infrastructure and data engineering.
• Partner with Engineering and Product to deliver solutions to our customers.
• Work with Product Analytics to track the KPIs of different ML use cases.
• Partner with the Experimentation team to integrate the KPIs into the Experimentation (A/B testing) platform.

Who We’re Looking For

• At least 2 to 3 years of professional experience as a Data Scientist.
• Knowledge of Generative AI and LLMs (e.g., foundations like Transformed-based architectures, embeddings, etc.).
• 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.

Nice To Have

• Exposure to other programming languages such as Kotlin, Java, Scala, etc.
• Experience bringing models into production and serving models at scale.
• Experience using AWS for deploying machine learning solutions.
• Understanding of A/B testing and experimentation.
• Exposure to MLOps tools.

What We Offer

• Permanent contract.
• Salary + annual bonus.
• Work with and impact all OLX services in Europe.
• Train and conference budget and free access to Udemy courses.
• Health insurance and life insurance.
• MacBook Pro along with necessary accessories to make your work comfortable.
• 100% remote work (and the possibility to work from our office in Barcelona).

Why join OLX?

At OLX, we invest in ourselves and each other to reach our full potential. We avoid bureaucracy and empower our teams to innovate; with opportunities, training, and leadership behaviors a key focus for all. Our commitment to inclusion ensures we listen to a diverse range of voices when making decisions. And, we combine the spirit and agility of a startup with our global scale and the backing of Prosus, one of the largest consumer internet groups in the world.

Diversity, Equity and Inclusion at OLX

At OLX, we are committed to creating a diverse, inclusive, and authentic workplace. We strongly encourage people of all races, ethnicities, disabilities, ages, gender identities or expressions, sexual orientations, religions, backgrounds, and experiences to apply.

If you are excited about this role, and your past experiences do not align perfectly with every criteria asked for in the job description, we would still like you to apply. You may be just the right candidate for this or other opportunities across the business, and we'd like to hear from you.