A machine learning engineer occupies a recognizable job family, but the boundaries remain fluid. Responsibilities can range from software and data work to deploying production ML systems and communicating with stakeholders. section 1.1
Typical responsibilities may include:
- Build real-time computer vision systems, recommender systems, or chatbots. section 1.1
- Write SQL, visualize data, run A/B tests, or manage distributed data infrastructure. section 1.1
- Handle stakeholder communication alongside technical implementation. section 1.1
Why the title needs context
Two people called data scientists—or working alongside ML engineers—may perform very different jobs: one creates pivot tables, while another operates a large distributed cluster or deploys a computer-vision system. section 1.1
Figure 1.1 The variety of skills one should possess to succeed in ML system design
Maps the broad mix of engineering, data, experimentation, deployment, and communication skills associated with ML system design. section 1.1
