Job Opportunities in the Daphni Portfolio


Data Science Manager | GenAI



Data Science
Barcelona, Spain
Posted on Thursday, June 27, 2024
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, Property24.
Join OLX and see how far you can go.
We invite you to join us on a critical and exciting mission! Your job will be to build a GenAI team tasked with establishing 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.
Your team will consist of 4-5 Data Scientists and a Machine Learning Engineer 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 either are deployed to all users or die in production not surviving the validation. Iterate quickly, fail fast, learn, and improve. The power is yours! P.S. In your day-to-day routine, you will be encouraged to not only mentor your team members but also to research state-of-the-art machine learning in the area of LLMs and GenAI, all using Python and the AWS cloud. You will be exposed to key stakeholders, and have direct contact with internal customers. You will have the carte blanche to experiment and test things. And most importantly, you will also witness how your work impacts the day-to-day business of our customers.

What you will do in Data Science at OLX:

  • Lead the Data Science aspects in the Video Pack.
  • 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.
  • Work with Product Analytics to track the KPIs of different ML use cases and measure the impact for our customers.
  • Partner with the Experimentation team to integrate the KPIs and their proxies to 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 :)

Who we’re looking for:

  • You must be located in Spain.
  • Very strong analytical skills. Like really strong! So strong that truth and light are your two middle names.
  • Solid background in statistics and modeling.
  • Good knowledge of Python, which means having experience with at least one of the following: Scikit-Learn, TensorFlow, PyTorch, Pandas.
  • At least, 4 years of (hands-on) experience with Machine Learning (supervised, unsupervised, etc.).
  • Very good knowledge of NLP and Deep Learning (Embeddings, Language Models, Transformers, etc.).
  • Good knowledge of Generative AI and Large Language Models (LLMs).
  • Good understanding of engineering best practices, that is: testing, CI/CD, monitoring, alerting, containers.
  • Hands-on experience with SQL.
  • Experience with MLOps.
  • Proficient in English with excellent written and oral communication skills!
  • Strong presentation skills.
  • Able to work in diverse, multi-functional teams with people from different backgrounds.

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
  • Experience with building data pipelines using tools like Spark and Airflow
  • Understanding of A/B testing and experimentation
  • Exposure to MLOps tools

What we offer:

  • Permanent contract
  • Salary + annual bonus up to 20% of your annual gross salary
  • 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.
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