Machine Learning Engineer to SaaS-company!
Core
Build an intelligence layer for forecasting, ranking, and recommendation systems using applied machine learning and data engineering.
Role type
Machine Learning Engineer with Data Engineering competence
Builds
Forecasting, ranking, and recommendation systems
Domain
SaaS, Data Platform
Deliverable
production ML models
Required skills
end-to-end ML lifecycle ownership, data engineering, Databricks, Python, SQL, cloud environment experience (Azure/AWS/GCP), data ingestion, observability
Preferred skills
architecture and development of data platforms, additional cloud-based data or ML technologies
Technologies
Databricks, Python, SQL, Azure, AWS, GCP
Responsibilities
Design and develop ML models for forecasting, ranking, and recommendation systems; take full ownership of the model lifecycle from development to production monitoring; contribute to data platform maintenance and ingestion pipelines; troubleshoot issues across data pipelines and ML models.
Seniority
Mid-level (1–2 years ML experience, 3+ years data engineering)