🛠 Tech Stack

💼 About This Role

You'll serve as a trusted technical advisor for strategic customers, designing and optimizing large-scale AI and ML workloads in cloud GPU environments. You'll bridge customer needs with engineering to drive innovation and long-term partnerships. This role offers flexible remote work and exposure to cutting-edge AI technologies.

🎯 What You'll Do

• Serve as primary technical advisor for strategic customers on GPU cloud infrastructure.
• Design, deploy, and scale AI/ML solutions and optimize GPU performance.
• Collaborate with sales teams and deliver technical presentations.
• Troubleshoot complex issues in AI/ML, Kubernetes, and cloud services.

📋 Requirements

• 5 to 10+ years of experience in Solutions Architect, Customer Engineer, or similar cloud role.
• Strong hands-on experience with cloud infrastructure and large-scale GPU environments.
• Expertise with Terraform and Ansible (Infrastructure as Code).
• Practical experience with Kubernetes and Python.

✨ Nice to Have

• Experience with HPC or ML orchestration frameworks like Slurm or Kubeflow.
• Familiarity with PyTorch or TensorFlow.
• Knowledge of AI/ML tooling on AWS, Azure, Google Cloud, or NVIDIA ecosystems.

🎁 Benefits & Perks

• 💰 Competitive salary with comprehensive benefits.
• 🏠 Fully remote or flexible working in Europe.
• 🚀 Cutting-edge AI/ML projects with global scale.
• 📈 Professional growth and career development.
• 🌍 Inclusive culture with equal opportunity.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min