Addi is a leading financial platform building the future of payments, shopping, and banking in Colombia. They are looking for a Machine Learning Engineer to build a world-class ML Ops foundation to accelerate the transition from model prototype to production. The successful candidate will have 4-7 years of experience in software engineering, with at least 3 years focused on ML Ops or Data Engineering in a production environment.
Requirements
- Proven experience in architecting and serving production-grade ML systems
- 4–7 years of experience in software engineering, with at least 3 years focused specifically on ML Ops or Data Engineering in a production environment
- Expert-level knowledge of AWS (or similar), Kubernetes, Airflow/Prefect, and Databricks/Spark
- Track record of implementing request batching and model quantization to balance high-performance throughput with infrastructure costs
- Expert-level knowledge of core ML libraries (NumPy, Pandas, scikit-learn) and at least one deep learning framework (PyTorch or TensorFlow)
- Solid expertise in data-intensive stacks like Spark or Databricks and the ability to write complex, optimized SQL for feature extraction and data validation
Benefits
- Competitive compensation
- Meaningful ownership
- Benefits that go beyond the basics to support growth
