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Model Serving / API Backend Engineer(m/w/x)
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Work Experience
approx. 1 - 4 years
Tasks
- •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 & Technologies
Languages
English – Business Fluent
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Model Serving / API Backend Engineer(m/w/x)
The AI Job Search Engine
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Work Experience
approx. 1 - 4 years
Tasks
- •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 & Technologies
Languages
English – Business Fluent
About the Company
Black Forest Labs
Industry
IT
Description
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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