AI/ML Solution Architect

TrioTech Recruitment • Germany
Remote
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AI Summary

Join our international team and work 100% remotely across Europe. Design and improve large-scale training pipelines using distributed systems. Partner with clients and product teams to deliver customer-centric technical architectures.

Key Highlights
Create practical, customer-centric technical architectures
Build and nurture lasting partnerships with clients
Partner with product and engineering teams
Design and improve large-scale training pipelines
Orchestrate with Kubernetes multi clusters and Slurm
Work with ML libraries such as PyTorch, Tensorflow
Technical Skills Required
Cloud environments Machine learning engineering MLOps Kubernetes Slurm PyTorch Tensorflow
Benefits & Perks
100% remote work
Opportunity to work with international clients

Job Description


Our client are delivering cutting edge and cost-effective modern AI Cloud infrastructure to their customers across Europe.


Right no they are looking for AI/ML Solution Architects to join their international team and work 100% remotely across Europe.


Role

  • Create practical, customer-centric technical architectures that generate clear business value.
  • Build and nurture lasting partnerships with clients, ensuring confidence, reliability, and long-term satisfaction.
  • Partner with product and engineering teams to collect feedback, align priorities, and translate customer needs into actionable solutions.


Skills

  • Over four years of hands-on experience with cloud environments in areas such as machine learning engineering, MLOps, or related technical roles.
  • Demonstrated success designing and improving large-scale training pipelines using distributed systems across multiple GPUs and nodes.
  • Orchestration with Kubernetes multi clusters and Slurm
  • Practical experience working with ML libraries such as PyTorch, Tensorflow
  • Clear and effective communication skills, with the ability to engage a wide range of technical and non-technical stakeholders.
  • Experience operating and scaling model inference platforms and training of LLMs
  • Comfortable architecting robust, scalable systems suitable for production environments.


Please reach out for this exciting remote role!


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