As a Senior Python Software Engineer, you will design, build, operate, and scale the technical platforms, services, and tools that support the entire machine learning lifecycle. You will create the foundation for data collection, model training, deployment, and operations, working at the intersection of software engineering, data platforms, MLOps, and machine learning.

The primary focus of this role is the development of production-ready software solutions, platforms, and workflows. Day-to-day responsibilities will mainly involve software development, architecture, automation, and system integration, rather than training machine learning models.

Typical tasks span:

Machine Learning Engineering

• Build end-to-end ML training pipelines (ingestion, validation, transformation, training, evaluation)
• Deploy, optimize and package models for inference
• Support the platform team to serve models in cloud
• Support the ai runtime team to serve models on edge/sorters
• Participate in data and model centric research and innovation

Data Management

• Build, integrate and maintain secure data platforms (e.g., SQL/NoSQL warehouses, object storage, feature stores)
• Ensure data security, privacy, and compliance

Service & ML Tooling

• Design and implement REST APIs to expose ML services and data platform functionality
• Develop and maintain internal tools and web-based UIs that support ML workflows

Software Engineering

• Apply software engineering practices for version control, code reviews, and accurate technical documentation
• Develop robust and maintainable code with unit, integration, and performance tests and knowledge transfer
• Containerize components and implement CI/CD pipelines
• Maintain and troubleshoot ML tooling in production
• Close collaboration and alignment with our internal users

We expect high ownership of assigned projects including stakeholder management, requirements engineering, project management and technical decisions.