9 879 Posti di lavoro per Devops in Italia
ML Infrastructure Engineer / DevOps
Inserito 8 giorni fa
Lavoro visualizzato
Descrizione Del Lavoro
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Client:ALLSIDES (formerly Covision Media)
Location: Job Category:Other
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EU work permit required:Yes
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Job Reference: Job Views:11
Posted: Expiry Date:col-wide
Job Description:Allsidesis the world’s leading 3D scanning company. We use cutting-edge Computer Vision and Machine Learning technologies to create the highest quality, relightable 3D models of objects and products. Our 3D scanners are used globally by customers such as Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Zalando, and other leading brands, content creation studios, and technology companies to mass produce tens of thousands of 3D assets per year. These 3D assets can be used in videos, advertising, gaming, research, and digital product databases: powering the future of visual content and data-driven innovation.
Our international team is growing rapidly, and we’re looking for new team members who want to contribute and make an impact. As a start-up, we offer an open and flexible supportive work environment with flat hierarchies. Our team is young, dynamic, and diverse, and our start-up culture encourages collaboration, personal growth, and the chance to work with talented people from all over the world.
We’re looking for curious minds and hands-on thinkers who are ready to make a difference.
More info about us and our technology here our website: allsides.tech
Position Overview
We're looking for an experienced Infrastructure Engineer to improve and scale our technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll support our development and ML teams across cloud and on-premise environments. If you have experience in several of these areas and are excited about growing in others, we encourage you to apply.
Main Responsibilities:
>DevOps & Deployment
- Design and implement deployment strategies for software and assets to cloud environments and clients
- Create reliable pipelines for delivering and updating various resources to on-premise systems
- Build and maintain CI/CD pipelines for efficient software delivery
- Improve developer experience through tooling and workflow optimization
>Compute & ML Infrastructure
- Manage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads
- Provision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks
- Build and maintain infrastructure for ML workloads, including training pipelines and data processing
- Design and optimize resource allocation systems for efficient AI/ML computation
Qualifications:
- Bachelor's degree in Computer Science or related technical field
- 4+ years of experience in infrastructure engineering or DevOps roles
- Proficiency in English
- Experience with containerization (Docker) and orchestration (e.g. Kubernetes)
- Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines
- Experience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm)
Nice to have:
- MLOps experience, including ML pipeline automation and experiment tracking
- Experience with monitoring solutions (Prometheus, Grafana)
- Familiarity with cloud services, particularly AWS
- Understanding of networking principles and implementation
- Familiarity with Hardware infrastructure management (IPMI, server maintenance)
- Knowledge of 3D graphics processing or computer vision workflows
- Competitive salary package including stock-options
- Lunch voucher for working days
- We assist with relocation
- Flexible working hours and work-from-home policy
- Family-friendly environment
- Amazing office space in the Dolomites located at the Durst Group
- Personal and professional growth opportunities: Take over and own important parts of infrastructure development and help us blitz-scale
- Learning and Development: Participate in CVML, AI, startup conferences globally
You don't have to tick every box to apply — your drive and passion matter most!
This is a FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). If you are interested, please send an email with your resume to (emailprotected)
#J-18808-LjbffrML Infrastructure Engineer / DevOps
Inserito 6 giorni fa
Lavoro visualizzato
Descrizione Del Lavoro
Allsides is the world’s leading 3D scanning company. We use cutting-edge Computer Vision and Machine Learning technologies to create the highest quality, relightable 3D models of objects and products. Our 3D scanners are used globally by customers such as Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Zalando, and other leading brands, content creation studios, and technology companies to mass produce tens of thousands of 3D assets per year. These 3D assets can be used in videos, advertising, gaming, research, and digital product databases: powering the future of visual content and data-driven innovation.
Our international team is growing rapidly, and we’re looking for new team members who want to contribute and make an impact. As a start-up, we offer an open and flexible supportive work environment with flat hierarchies. Our team is young, dynamic, and diverse, and our start-up culture encourages collaboration, personal growth, and the chance to work with talented people from all over the world.
We’re looking for curious minds and hands-on thinkers who are ready to make a difference.
More info about us and our technology here our website: allsides.tech
Position Overview
We're looking for an experienced Infrastructure Engineer to improve and scale our technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll support our development and ML teams across cloud and on-premise environments. If you have experience in several of these areas and are excited about growing in others, we encourage you to apply.
Main Responsibilities:
>DevOps & Deployment
- Design and implement deployment strategies for software and assets to cloud environments and clients
- Create reliable pipelines for delivering and updating various resources to on-premise systems
- Manage multi-environment infrastructure (development, staging, production)
- Build and maintain CI/CD pipelines for efficient software delivery
- Design testing infrastructure to ensure software quality
- Improve developer experience through tooling and workflow optimization
>Compute & ML Infrastructure
- Manage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads
- Provision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks
- Build and maintain infrastructure for ML workloads, including training pipelines and data processing
- Design and optimize resource allocation systems for efficient AI/ML computation
Qualifications:
- Bachelor's degree in Computer Science or related technical field
- 4+ years of experience in infrastructure engineering or DevOps roles
- Proficiency in English
- Experience with containerization (Docker) and orchestration (e.g. Kubernetes)
- Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines
- Experience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm)
Nice to have:
- MLOps experience, including ML pipeline automation and experiment tracking
- Experience with monitoring solutions (Prometheus, Grafana)
- Familiarity with cloud services, particularly AWS
- Understanding of networking principles and implementation
- Familiarity with Hardware infrastructure management (IPMI, server maintenance)
- Knowledge of 3D graphics processing or computer vision workflows
Benefits:
- Competitive salary package including stock-options
- Lunch voucher for working days
- We assist with relocation
- Flexible working hours and work-from-home policy
- Family-friendly environment
- Amazing office space in the Dolomites located at the Durst Group
- Personal and professional growth opportunities: Take over and own important parts of infrastructure development and help us blitz-scale
- Learning and Development: Participate in CVML, AI, startup conferences globally
You don't have to tick every box to apply — your drive and passion matter most!
This is a FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). If you are interested, please send an email with your resume to
ML Infrastructure Engineer / DevOps
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
Allsides is the world’s leading 3D scanning company. We use cutting-edge Computer Vision and Machine Learning technologies to create the highest quality, relightable 3D models of objects and products. Our 3D scanners are used globally by customers such as Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Zalando, and other leading brands, content creation studios, and technology companies to mass produce tens of thousands of 3D assets per year. These 3D assets can be used in videos, advertising, gaming, research, and digital product databases: powering the future of visual content and data-driven innovation.
Our international team is growing rapidly, and we’re looking for new team members who want to contribute and make an impact. As a start-up, we offer an open and flexible supportive work environment with flat hierarchies. Our team is young, dynamic, and diverse, and our start-up culture encourages collaboration, personal growth, and the chance to work with talented people from all over the world.
We’re looking for curious minds and hands-on thinkers who are ready to make a difference.
More info about us and our technology here our website: allsides.tech
Position Overview
We're looking for an experienced Infrastructure Engineer to improve and scale our technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll support our development and ML teams across cloud and on-premise environments. If you have experience in several of these areas and are excited about growing in others, we encourage you to apply.
Main Responsibilities:
>DevOps & Deployment
- Design and implement deployment strategies for software and assets to cloud environments and clients
- Create reliable pipelines for delivering and updating various resources to on-premise systems
- Manage multi-environment infrastructure (development, staging, production)
- Build and maintain CI/CD pipelines for efficient software delivery
- Design testing infrastructure to ensure software quality
- Improve developer experience through tooling and workflow optimization
>Compute & ML Infrastructure
- Manage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads
- Provision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks
- Build and maintain infrastructure for ML workloads, including training pipelines and data processing
- Design and optimize resource allocation systems for efficient AI/ML computation
Qualifications:
- Bachelor's degree in Computer Science or related technical field
- 4+ years of experience in infrastructure engineering or DevOps roles
- Proficiency in English
- Experience with containerization (Docker) and orchestration (e.g. Kubernetes)
- Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines
- Experience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm)
Nice to have:
- MLOps experience, including ML pipeline automation and experiment tracking
- Experience with monitoring solutions (Prometheus, Grafana)
- Familiarity with cloud services, particularly AWS
- Understanding of networking principles and implementation
- Familiarity with Hardware infrastructure management (IPMI, server maintenance)
- Knowledge of 3D graphics processing or computer vision workflows
Benefits:
- Competitive salary package including stock-options
- Lunch voucher for working days
- We assist with relocation
- Flexible working hours and work-from-home policy
- Family-friendly environment
- Amazing office space in the Dolomites located at the Durst Group
- Personal and professional growth opportunities: Take over and own important parts of infrastructure development and help us blitz-scale
- Learning and Development: Participate in CVML, AI, startup conferences globally
You don't have to tick every box to apply — your drive and passion matter most!
This is a FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). If you are interested, please send an email with your resume to
ML Infrastructure Engineer / DevOps
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
Allsides is the world’s leading 3D scanning company. We use cutting-edge Computer Vision and Machine Learning technologies to create the highest quality, relightable 3D models of objects and products. Our 3D scanners are used globally by customers such as Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Zalando, and other leading brands, content creation studios, and technology companies to mass produce tens of thousands of 3D assets per year. These 3D assets can be used in videos, advertising, gaming, research, and digital product databases: powering the future of visual content and data-driven innovation.
Our international team is growing rapidly, and we’re looking for new team members who want to contribute and make an impact. As a start-up, we offer an open and flexible supportive work environment with flat hierarchies. Our team is young, dynamic, and diverse, and our start-up culture encourages collaboration, personal growth, and the chance to work with talented people from all over the world.
We’re looking for curious minds and hands-on thinkers who are ready to make a difference.
More info about us and our technology here our website: allsides.tech
Position Overview
We're looking for an experienced Infrastructure Engineer to improve and scale our technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll support our development and ML teams across cloud and on-premise environments. If you have experience in several of these areas and are excited about growing in others, we encourage you to apply.
Main Responsibilities:
>DevOps & Deployment
- Design and implement deployment strategies for software and assets to cloud environments and clients
- Create reliable pipelines for delivering and updating various resources to on-premise systems
- Manage multi-environment infrastructure (development, staging, production)
- Build and maintain CI/CD pipelines for efficient software delivery
- Design testing infrastructure to ensure software quality
- Improve developer experience through tooling and workflow optimization
>Compute & ML Infrastructure
- Manage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads
- Provision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks
- Build and maintain infrastructure for ML workloads, including training pipelines and data processing
- Design and optimize resource allocation systems for efficient AI/ML computation
Qualifications:
- Bachelor's degree in Computer Science or related technical field
- 4+ years of experience in infrastructure engineering or DevOps roles
- Proficiency in English
- Experience with containerization (Docker) and orchestration (e.g. Kubernetes)
- Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines
- Experience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm)
Nice to have:
- MLOps experience, including ML pipeline automation and experiment tracking
- Experience with monitoring solutions (Prometheus, Grafana)
- Familiarity with cloud services, particularly AWS
- Understanding of networking principles and implementation
- Familiarity with Hardware infrastructure management (IPMI, server maintenance)
- Knowledge of 3D graphics processing or computer vision workflows
Benefits:
- Competitive salary package including stock-options
- Lunch voucher for working days
- We assist with relocation
- Flexible working hours and work-from-home policy
- Family-friendly environment
- Amazing office space in the Dolomites located at the Durst Group
- Personal and professional growth opportunities: Take over and own important parts of infrastructure development and help us blitz-scale
- Learning and Development: Participate in CVML, AI, startup conferences globally
You don't have to tick every box to apply — your drive and passion matter most!
This is a FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). If you are interested, please send an email with your resume to
Ml Infrastructure Engineer / Devops
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
Allsides is the world’s leading 3D scanning company. We use cutting-edge Computer Vision and Machine Learning technologies to create the highest quality, relightable 3D models of objects and products. Our 3D scanners are used globally by customers such as Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Zalando, and other leading brands, content creation studios, and technology companies to mass produce tens of thousands of 3D assets per year. These 3D assets can be used in videos, advertising, gaming, research, and digital product databases:
powering the future of visual content and data-driven innovation.
Our international team is growing rapidly, and we’re looking for new team members who want to contribute and make an impact. As a start-up, we offer an open and flexible supportive work environment with flat hierarchies. Our team is young, dynamic, and diverse, and our start-up culture encourages collaboration, personal growth, and the chance to work with talented people from all over the world.
We’re looking for curious minds and hands-on thinkers who are ready to make a difference.
More info about us and our technology here our website:
allsides.Tech
Position Overview
We're looking for an experienced Infrastructure Engineer to improve and scale our technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll support our development and ML teams across cloud and on-premise environments. If you have experience in several of these areas and are excited about growing in others, we encourage you to apply.
Main Responsibilities:
>
DevOps & Deployment
- Design and implement deployment strategies for software and assets to cloud environments and clients
- Create reliable pipelines for delivering and updating various resources to on-premise systems
- Manage multi-environment infrastructure (development, staging, production)
- Build and maintain CI/CD pipelines for efficient software delivery
- Design testing infrastructure to ensure software quality
- Improve developer experience through tooling and workflow optimization
>
Compute & ML Infrastructure
- Manage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads
- Provision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks
- Build and maintain infrastructure for ML workloads, including training pipelines and data processing
- Design and optimize resource allocation systems for efficient AI/ML computation
Qualifications:
- Bachelor's degree in Computer Science or related technical field
- 4+ years of experience in infrastructure engineering or DevOps roles
- Proficiency in English
- Experience with containerization (Docker) and orchestration (e.G. Kubernetes)
- Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines
- Experience with HPC clusters (GPU+CPU) and job scheduling systems (e.G. Slurm)
Nice to have:
- MLOps experience, including ML pipeline automation and experiment tracking
- Experience with monitoring solutions (Prometheus, Grafana)
- Familiarity with cloud services, particularly AWS
- Understanding of networking principles and implementation
- Familiarity with Hardware infrastructure management (IPMI, server maintenance)
- Knowledge of 3D graphics processing or computer vision workflows
Benefits:
- Competitive salary package including stock-options
- Lunch voucher for working days
- We assist with relocation
- Flexible working hours and work-from-home policy
- Family-friendly environment
- Amazing office space in the Dolomites located at the Durst Group
- Personal and professional growth opportunities:
Take over and own important parts of infrastructure development and help us blitz-scale - Learning and Development:
Participate in CVML, AI, startup conferences globally
You don't have to tick every box to apply — your drive and passion matter most!
This is a FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). If you are interested, please send an email with your resume to
ML Infrastructure Engineer / DevOps
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
Position Overview We're looking for an experienced Infrastructure Engineer to improve and scale our technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll support our development and ML teams across cloud and on-premise environments. If you have experience in several of these areas and are excited about growing in others, we encourage you to apply.
Main Responsibilities: >DevOps & Deployment Design and implement deployment strategies for software and assets to cloud environments and clients Create reliable pipelines for delivering and updating various resources to on-premise systems Manage multi-environment infrastructure (development, staging, production) Build and maintain CI/CD pipelines for efficient software delivery Design testing infrastructure to ensure software quality Improve developer experience through tooling and workflow optimization >Compute & ML Infrastructure Manage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads Provision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks Build and maintain infrastructure for ML workloads, including training pipelines and data processing Design and optimize resource allocation systems for efficient AI/ML computation
Qualifications: Bachelor's degree in Computer Science or related technical field 4+ years of experience in infrastructure engineering or DevOps roles Proficiency in English Experience with containerization (Docker) and orchestration (e.g. Kubernetes) Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines Experience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm)
Nice to have: MLOps experience, including ML pipeline automation and experiment tracking Experience with monitoring solutions (Prometheus, Grafana) Familiarity with cloud services, particularly AWS Understanding of networking principles and implementation Familiarity with Hardware infrastructure management (IPMI, server maintenance) Knowledge of 3D graphics processing or computer vision workflows
Benefits: Competitive salary package including stock-options Lunch voucher for working days We assist with relocation Flexible working hours and work-from-home policy Family-friendly environment Amazing office space in the Dolomites located at the Durst Group Personal and professional growth opportunities: Take over and own important parts of infrastructure development and help us blitz-scale Learning and Development: Participate in CVML, AI, startup conferences globally
You don't have to tick every box to apply — your drive and passion matter most! This is a FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). If you are interested, please send an email with your resume to
ML Infrastructure Engineer / DevOps
Inserito 4 giorni fa
Lavoro visualizzato
Descrizione Del Lavoro
Allsides is the world’s leading 3D scanning company. We use cutting-edge Computer Vision and Machine Learning technologies to create the highest quality, relightable 3D models of objects and products. Our 3D scanners are used globally by customers such as Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Zalando, and other leading brands, content creation studios, and technology companies to mass produce tens of thousands of 3D assets per year. These 3D assets can be used in videos, advertising, gaming, research, and digital product databases: powering the future of visual content and data-driven innovation.
Our international team is growing rapidly, and we’re looking for new team members who want to contribute and make an impact. As a start-up, we offer an open and flexible supportive work environment with flat hierarchies. Our team is young, dynamic, and diverse, and our start-up culture encourages collaboration, personal growth, and the chance to work with talented people from all over the world.
We’re looking for curious minds and hands-on thinkers who are ready to make a difference.
More info about us and our technology here our website: allsides.tech
Position Overview
We're looking for an experienced Infrastructure Engineer to improve and scale our technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll support our development and ML teams across cloud and on-premise environments. If you have experience in several of these areas and are excited about growing in others, we encourage you to apply.
Main Responsibilities:
>DevOps & Deployment
- Design and implement deployment strategies for software and assets to cloud environments and clients
- Create reliable pipelines for delivering and updating various resources to on-premise systems
- Manage multi-environment infrastructure (development, staging, production)
- Build and maintain CI/CD pipelines for efficient software delivery
- Design testing infrastructure to ensure software quality
- Improve developer experience through tooling and workflow optimization
>Compute & ML Infrastructure
- Manage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads
- Provision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks
- Build and maintain infrastructure for ML workloads, including training pipelines and data processing
- Design and optimize resource allocation systems for efficient AI/ML computation
Qualifications:
- Bachelor's degree in Computer Science or related technical field
- 4+ years of experience in infrastructure engineering or DevOps roles
- Proficiency in English
- Experience with containerization (Docker) and orchestration (e.g. Kubernetes)
- Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines
- Experience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm)
Nice to have:
- MLOps experience, including ML pipeline automation and experiment tracking
- Experience with monitoring solutions (Prometheus, Grafana)
- Familiarity with cloud services, particularly AWS
- Understanding of networking principles and implementation
- Familiarity with Hardware infrastructure management (IPMI, server maintenance)
- Knowledge of 3D graphics processing or computer vision workflows
Benefits:
- Competitive salary package including stock-options
- Lunch voucher for working days
- We assist with relocation
- Flexible working hours and work-from-home policy
- Family-friendly environment
- Amazing office space in the Dolomites located at the Durst Group
- Personal and professional growth opportunities: Take over and own important parts of infrastructure development and help us blitz-scale
- Learning and Development: Participate in CVML, AI, startup conferences globally
You don't have to tick every box to apply — your drive and passion matter most!
This is a FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). If you are interested, please send an email with your resume to
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Informazioni sulle ultime novità Devops Posti di lavoro;/Posti Vacanti nella Italia !
ML Infrastructure Engineer / DevOps
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
Position Overview We're looking for an experienced Infrastructure Engineer to improve and scale our technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll support our development and ML teams across cloud and on-premise environments. If you have experience in several of these areas and are excited about growing in others, we encourage you to apply.
Main Responsibilities: >DevOps & Deployment Design and implement deployment strategies for software and assets to cloud environments and clients Create reliable pipelines for delivering and updating various resources to on-premise systems Manage multi-environment infrastructure (development, staging, production) Build and maintain CI/CD pipelines for efficient software delivery Design testing infrastructure to ensure software quality Improve developer experience through tooling and workflow optimization >Compute & ML Infrastructure Manage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads Provision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks Build and maintain infrastructure for ML workloads, including training pipelines and data processing Design and optimize resource allocation systems for efficient AI/ML computation
Qualifications: Bachelor's degree in Computer Science or related technical field 4+ years of experience in infrastructure engineering or DevOps roles Proficiency in English Experience with containerization (Docker) and orchestration (e.g. Kubernetes) Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines Experience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm)
Nice to have: MLOps experience, including ML pipeline automation and experiment tracking Experience with monitoring solutions (Prometheus, Grafana) Familiarity with cloud services, particularly AWS Understanding of networking principles and implementation Familiarity with Hardware infrastructure management (IPMI, server maintenance) Knowledge of 3D graphics processing or computer vision workflows
Benefits: Competitive salary package including stock-options Lunch voucher for working days We assist with relocation Flexible working hours and work-from-home policy Family-friendly environment Amazing office space in the Dolomites located at the Durst Group Personal and professional growth opportunities: Take over and own important parts of infrastructure development and help us blitz-scale Learning and Development: Participate in CVML, AI, startup conferences globally
You don't have to tick every box to apply — your drive and passion matter most! This is a FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). If you are interested, please send an email with your resume to
ML Infrastructure Engineer / DevOps
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
Allsides is the world’s leading 3D scanning company. We use cutting-edge Computer Vision and Machine Learning technologies to create the highest quality, relightable 3D models of objects and products. Our 3D scanners are used globally by customers such as Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Zalando, and other leading brands, content creation studios, and technology companies to mass produce tens of thousands of 3D assets per year. These 3D assets can be used in videos, advertising, gaming, research, and digital product databases: powering the future of visual content and data-driven innovation.
Our international team is growing rapidly, and we’re looking for new team members who want to contribute and make an impact. As a start-up, we offer an open and flexible supportive work environment with flat hierarchies. Our team is young, dynamic, and diverse, and our start-up culture encourages collaboration, personal growth, and the chance to work with talented people from all over the world.
We’re looking for curious minds and hands-on thinkers who are ready to make a difference.
More info about us and our technology here our website: allsides.tech
Position Overview
We're looking for an experienced Infrastructure Engineer to improve and scale our technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll support our development and ML teams across cloud and on-premise environments. If you have experience in several of these areas and are excited about growing in others, we encourage you to apply.
Main Responsibilities:
>DevOps & Deployment
Design and implement deployment strategies for software and assets to cloud environments and clients
Create reliable pipelines for delivering and updating various resources to on-premise systems
Manage multi-environment infrastructure (development, staging, production)
Build and maintain CI/CD pipelines for efficient software delivery
Design testing infrastructure to ensure software quality
Improve developer experience through tooling and workflow optimization
>Compute & ML Infrastructure
Manage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads
Provision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks
Build and maintain infrastructure for ML workloads, including training pipelines and data processing
Design and optimize resource allocation systems for efficient AI/ML computation
Qualifications:
Bachelor's degree in Computer Science or related technical field
4+ years of experience in infrastructure engineering or DevOps roles
Proficiency in English
Experience with containerization (Docker) and orchestration (e.g. Kubernetes)
Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines
Experience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm)
Nice to have:
MLOps experience, including ML pipeline automation and experiment tracking
Experience with monitoring solutions (Prometheus, Grafana)
Familiarity with cloud services, particularly AWS
Understanding of networking principles and implementation
Familiarity with Hardware infrastructure management (IPMI, server maintenance)
Knowledge of 3D graphics processing or computer vision workflows
Benefits:
Competitive salary package including stock-options
Lunch voucher for working days
We assist with relocation
Flexible working hours and work-from-home policy
Family-friendly environment
Amazing office space in the Dolomites located at the Durst Group
Personal and professional growth opportunities: Take over and own important parts of infrastructure development and help us blitz-scale
Learning and Development: Participate in CVML, AI, startup conferences globally
You don't have to tick every box to apply — your drive and passion matter most!
This is a FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). If you are interested, please send an email with your resume to
ML Infrastructure Engineer / DevOps
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
Social network you want to login/join with:
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Client:ALLSIDES (formerly Covision Media)
Location:Job Category:Other
-
EU work permit required:Yes
col-narrow-right
Job Reference: Job Views:11
Posted: Expiry Date:col-wide
Job Description:Allsidesis the world’s leading 3D scanning company. We use cutting-edge Computer Vision and Machine Learning technologies to create the highest quality, relightable 3D models of objects and products. Our 3D scanners are used globally by customers such as Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Zalando, and other leading brands, content creation studios, and technology companies to mass produce tens of thousands of 3D assets per year. These 3D assets can be used in videos, advertising, gaming, research, and digital product databases: powering the future of visual content and data-driven innovation.
Our international team is growing rapidly, and we’re looking for new team members who want to contribute and make an impact. As a start-up, we offer an open and flexible supportive work environment with flat hierarchies. Our team is young, dynamic, and diverse, and our start-up culture encourages collaboration, personal growth, and the chance to work with talented people from all over the world.
We’re looking for curious minds and hands-on thinkers who are ready to make a difference.
More info about us and our technology here our website: allsides.tech
Position Overview
We're looking for an experienced Infrastructure Engineer to improve and scale our technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll support our development and ML teams across cloud and on-premise environments. If you have experience in several of these areas and are excited about growing in others, we encourage you to apply.
Main Responsibilities:
>DevOps & Deployment
- Design and implement deployment strategies for software and assets to cloud environments and clients
- Create reliable pipelines for delivering and updating various resources to on-premise systems
- Build and maintain CI/CD pipelines for efficient software delivery
- Improve developer experience through tooling and workflow optimization
>Compute & ML Infrastructure
- Manage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads
- Provision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks
- Build and maintain infrastructure for ML workloads, including training pipelines and data processing
- Design and optimize resource allocation systems for efficient AI/ML computation
Qualifications:
- Bachelor's degree in Computer Science or related technical field
- 4+ years of experience in infrastructure engineering or DevOps roles
- Proficiency in English
- Experience with containerization (Docker) and orchestration (e.g. Kubernetes)
- Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines
- Experience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm)
Nice to have:
- MLOps experience, including ML pipeline automation and experiment tracking
- Experience with monitoring solutions (Prometheus, Grafana)
- Familiarity with cloud services, particularly AWS
- Understanding of networking principles and implementation
- Familiarity with Hardware infrastructure management (IPMI, server maintenance)
- Knowledge of 3D graphics processing or computer vision workflows
- Competitive salary package including stock-options
- Lunch voucher for working days
- We assist with relocation
- Flexible working hours and work-from-home policy
- Family-friendly environment
- Amazing office space in the Dolomites located at the Durst Group
- Personal and professional growth opportunities: Take over and own important parts of infrastructure development and help us blitz-scale
- Learning and Development: Participate in CVML, AI, startup conferences globally
You don't have to tick every box to apply — your drive and passion matter most!
This is a FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). If you are interested, please send an email with your resume to (emailprotected)
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