Machine Learning Developer III
Machine Learning Developer III focuses on framework implementation: actively participate in the design and hands-on implementation of scalable ai frameworks tailored for brainbox ai’s ongoing and future projects.
What the role involves
- Framework Implementation: Actively participate in the design and hands-on implementation of scalable AI frameworks tailored for BrainBox AI’s ongoing and future projects.
- Monitoring & Drift Detection: Build and deploy the "immune system" for our models—systems that track performance decay and proactively detect data and concept drift.
- Technical Support & Programming: Serve as a high-level resource in AI programming, providing technical support to the broader team to ensure project milestones are met with precisi.
- Develop new techniques for initiatives that span across different engineering and research functions.
- Cross-Functional Initiatives: Help evolve existing methodologies.
- Code Excellence: Write exceptionally clean, testable, and debuggable code. You will be a champion for documentation and software development best practices within the ML lifecycle.
Skills and requirements
- Bachelor’s or Master’s in Software Engineering, Computer Science, or equivalent.
- 5-8+ years of experience in software engineering, with a significant focus on the deployment and maintenance of Machine Learning systems.
- Advanced proficiency in Python and Object-Oriented Programming (OOP) is non-negotiable.
- Strong experience in AWS environments (Lambdas, SageMaker, Glue Tables, SQS/SNS, API Gateway, CloudWatch) and navigating IAM roles for secure deployments.
Confirmed role details
- Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors.
Additional role context
- De 5 à 8+ ans d’expérience en génie logiciel, avec une forte spécialisation dans le déploiement et la maintenance de systèmes d’apprentissage automatique.
- Solide expérience des environnements AWS (Lambda, SageMaker, tables Glue, SQS/SNS, API Gateway, CloudWatch) et gestion des rôles IAM pour des déploiements sécurisés.
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