Die KI-Suchmaschine für Jobs
Model Serving / API Backend Engineer(m/w/x)
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
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
Berufserfahrung
ca. 1 - 4 Jahre
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
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
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Model Serving / API Backend Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
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
Berufserfahrung
ca. 1 - 4 Jahre
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
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
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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