Machine Learning Engineer
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, Property24.
Join OLX and see how far you can go.
JOIN OUR ML TEAM!
We invite you to join a team that works with OLX, Automotive platforms (Otomoto, Standvirtual), and Real Estate platforms (Otodom, Storia) across the entire EU region. A team that breaks through walls and builds 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.
In your day-to-day routine, you will have the opportunity to work on supervised models for behavioral classification, deep learning models for image classification, regression models for value estimation, as well as NLP and LMM-based models for various applications. All using Python and the AWS cloud. You will be exposed to key stakeholders, have direct contact with internal customers. You will have 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 be doing:
Work in the Data Science team focusing on the Motors vertical.
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 :)
Who we are looking for:
At least 2 to 3 years of professional experience as an MLE
Strong knowledge of GenAI and LLMs (you are able to deploy multi-agent systems as well and tracking their performance in Production)
Good knowledge of the best engineering practices
Experience with building data pipelines leveraging Airflow and AWS Batch Jobs
Experience with serving machine learning models at scale
Excellent knowledge of Python
Experience in using machine learning frameworks in production settings: Scikit-Learn, Pytorch and Transformers
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 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
Our hiring process:
Recruiter Interview
Hiring Manager Interview
Live Coding Interview
System Design Interview
Our benefits:
Permanent contract
Salary + annual bonus up to 15% of your annual gross salary
Work with and impact all OLX websites around the world
Train and conference budget and free access to Udemy courses
Health insurance and life insurance
MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable
100% remote work (and the possibility to work from our office in Lisboa)
Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.
Machine Learning Engineer
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, Property24.
Join OLX and see how far you can go.
JOIN OUR ML TEAM!
We invite you to join a team that works with OLX, Automotive platforms (Otomoto, Standvirtual), and Real Estate platforms (Otodom, Storia) across the entire EU region. A team that breaks through walls and builds 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.
In your day-to-day routine, you will have the opportunity to work on supervised models for behavioral classification, deep learning models for image classification, regression models for value estimation, as well as NLP and LMM-based models for various applications. All using Python and the AWS cloud. You will be exposed to key stakeholders, have direct contact with internal customers. You will have 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 be doing:
Work in the Data Science team focusing on the Motors vertical.
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 :)
Who we are looking for:
At least 2 to 3 years of professional experience as an MLE
Strong knowledge of GenAI and LLMs (you are able to deploy multi-agent systems as well and tracking their performance in Production)
Good knowledge of the best engineering practices
Experience with building data pipelines leveraging Airflow and AWS Batch Jobs
Experience with serving machine learning models at scale
Excellent knowledge of Python
Experience in using machine learning frameworks in production settings: Scikit-Learn, Pytorch and Transformers
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 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
Our hiring process:
Recruiter Interview
Hiring Manager Interview
Live Coding Interview
System Design Interview
Our benefits:
Permanent contract
Salary + annual bonus up to 15% of your annual gross salary
Work with and impact all OLX websites around the world
Train and conference budget and free access to Udemy courses
Health insurance and life insurance
MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable
100% remote work (and the possibility to work from our office in Lisboa)
Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.