
Machine Learning Engineer
- Portugal
- Permanente
- Horário completo
- 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 :)
- 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
- 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
- Recruiter Interview
- Hiring Manager Interview
- Live Coding Interview
- System Design Interview
- 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)