Join Atrato as an MLOps Engineer, where your ownership mindset will drive the automation and scaling of our machine learning infrastructure. As part of the Data Platform team, you will build robust solutions that enable us to deploy models safely, efficiently, reliably, and at scale, collaborating closely with Data Science, Tech, Product, and Credit.
What You'll Do
- Design and implement ML pipelines and automated deployment systems.
- Implement version control, continuous integration, and continuous deployment (CI/CD) practices for ML models.
- Collaborate with Data Science to accelerate experimentation and model productionization.
- Actively participate in data architecture decisions, model versioning, and monitoring.
What We're Looking For
- 2+ years of experience in MLOps or DevOps roles in production environments.
- Experience designing, automating, and monitoring data and ML model pipelines in production.
- Technical autonomy to propose improvements in architecture and infrastructure.
- Ability to work under pressure and meet deadlines and objectives.
Nice to Have
- Terraform
Technical Stack
- Python, FastAPI, SQL (Redshift, MySQL)
- Docker, AWS (S3, Lambda, ECS, etc.)
- GitHub Actions or other CI/CD systems, MLFlow
Team & Environment
You will be part of the Data Platform team, working closely with Data Science, Tech, Product, and Credit.
Benefits & Compensation
- 100% remote work + team equipment.
- SGMM (private health insurance).
- Possibility of stock options based on performance.
- 15+ vacation days from year zero (and increasing).
- Up to 18 months interest-free on purchases with affiliated merchants.
- Work based on objectives.
Work Mode
This is a global, fully remote position.
Atrato is an equal opportunity employer.
