Mastery of Machine Learning Pipeline Engineering
2 weeks ago
This is a senior-level position in the field of machine learning platform engineering, requiring strong software engineering skills and experience with MLOps.
About the RoleWe are looking for a seasoned professional to join our team and contribute to the development of an internal ML enablement platform. This role will focus on designing and building scalable ML infrastructure, automating workflows, and improving the developer experience.
Key Responsibilities- Design and develop a CLI + backend-based solution to simplify ML pipeline creation, execution, and deployment.
- Automate workflows using Databricks Workflows and Azure DevOps pipelines.
- Collaborate with Data Scientists to improve the platform's usability and performance.
- Work with Azure services such as Web Apps, Redis, ADLS, and more.
- Strong background in software engineering, data engineering, and machine learning.
- Experience with Python, Azure DevOps, FastAPI, MLflow, Databricks, and PySpark.
- Knowledge of orchestration patterns, scalable ML infrastructure, and CI/CD processes.
- Flexible remote or hybrid work setup.
- Diverse and experienced international team.
- No red tape – real tech challenges and ownership.
- Supportive, collaborative, and relaxed atmosphere.
This is a high-impact role that enables ML teams through engineering, automating workflows, and building tools that scale.
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