ML Platform Engineer @ Bleu Robotics
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You will be the first engineer at Bleu Robotics with cloud expertise. The scope covers infrastructure, training and inference services, the web front end, security, and cost. The choice of cloud provider and web framework is open; you will make it with the team. The role is based in Paris and is on-site. We are equally interested in two kinds of background: software or ML platform engineer who has built and operated a cloud service that runs training or inference jobs on data uploaded by users (
Relevance is based on skills and concepts, not a guarantee that you qualify.
Covered skills: Deep learning Python MLOps Cloud
Skills to close: None listed
Build the skills for this job
Coming-soon courses matched to this posting: outline, waitlist, and skill path.
1. Constraint Systems as Coordination Mechanisms
Understand how explicit constraints enable distributed teams to build complex systems without constant communication.
2. Anatomy of a Constraint Package
Break down the components that turn domain knowledge into enforceable design rules.
Learn the process of characterizing systems and encoding findings into actionable constraints.
4. Tool Integration and Automated Validation
Design constraint systems that integrate into development workflows and catch violations early.
5. Constraint Patterns in Software and ML Systems
Apply PDK principles to API contracts, deployment platforms, and ML infrastructure.
6. Ecosystem Coordination and External Adoption
Enable external teams to use your platform without deep internal knowledge transfer.
7. Building Your Own Constraint System
Apply the framework to your own platform, API, or hardware-software boundary.
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