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Model Serving / API Backend Engineer(m/w/x)
You will develop APIs and optimize model performance while turning research into production-ready solutions. Collaborating with researchers is essential for quickly deploying new models and ensuring infrastructure reliability.
Anforderungen
- Strong proficiency in Python
- Extensive experience with RESTful API development
- Familiarity with Docker and Kubernetes
- Knowledge of AWS, GCP, or Azure
- Proven track record in ML model prototyping
- Experience with distributed task queues
- Understanding of monitoring and logging best practices
- Experience with frontend frameworks
- Familiarity with MLOps practices
- Knowledge of database systems
- Experience with A/B testing in production
- Understanding of security best practices
- Experience with real-time inference systems
- Knowledge of CI/CD pipelines
- Expertise in ML inference optimizations
Aufgaben
- Develop and maintain robust APIs for machine learning models
- Transform research models into production-ready demos
- Create minimum viable products (MVPs) from models
- Optimize model inference for performance and scalability
- Implement user preference data acquisition systems
- Ensure high availability of model serving infrastructure
- Collaborate with ML researchers to prototype and deploy models
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
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Model Serving / API Backend Engineer(m/w/x)
You will develop APIs and optimize model performance while turning research into production-ready solutions. Collaborating with researchers is essential for quickly deploying new models and ensuring infrastructure reliability.
Anforderungen
- Strong proficiency in Python
- Extensive experience with RESTful API development
- Familiarity with Docker and Kubernetes
- Knowledge of AWS, GCP, or Azure
- Proven track record in ML model prototyping
- Experience with distributed task queues
- Understanding of monitoring and logging best practices
- Experience with frontend frameworks
- Familiarity with MLOps practices
- Knowledge of database systems
- Experience with A/B testing in production
- Understanding of security best practices
- Experience with real-time inference systems
- Knowledge of CI/CD pipelines
- Expertise in ML inference optimizations
Aufgaben
- Develop and maintain robust APIs for machine learning models
- Transform research models into production-ready demos
- Create minimum viable products (MVPs) from models
- Optimize model inference for performance and scalability
- Implement user preference data acquisition systems
- Ensure high availability of model serving infrastructure
- Collaborate with ML researchers to prototype and deploy models
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Über das Unternehmen
Black Forest Labs
Branche
IT
Beschreibung
Black Forest Labs is a cutting-edge startup pioneering generative image and video models. They are known for inventions like Stable Diffusion and Stable Video Diffusion.
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