AI/ML Specialist Solutions Architect

About This Opportunity

Our talent team is representing a confidential AI cloud infrastructure organization seeking an experienced AI/ML Specialist Solutions Architect. This is a remote position available to candidates based in the EU.

In this role, you will serve as a trusted technical advisor to AI-focused customers, designing scalable solutions and managing large-scale deployments involving hundreds to thousands of GPUs. You'll work at the intersection of cloud infrastructure and applied machine learning, helping clients solve complex technical challenges.

Responsibilities

• Design customer-centric AI solutions that maximize business value and align with strategic objectives
• Build and maintain long-term relationships with technical stakeholders to ensure customer satisfaction
• Deliver technical presentations, produce whitepapers, create documentation and host webinars for diverse technical audiences
• Collaborate with engineering and product teams to prioritize and communicate customer feedback effectively
• Support customers in resolving technical challenges across large-scale AI deployments

What We're Looking For

Required qualifications:

• 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles
• Strong understanding of ML ecosystems, including models, use cases and tooling
• Proven experience setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments
• Hands-on knowledge of frameworks like PyTorch or JAX
• Excellent verbal and written communication skills

Bonus qualifications:

• Expertise in deploying inference infrastructure for production workloads
• Ability to transition ML pipelines from proof-of-concept to scalable production systems

Preferred technical tooling:

• Programming Languages: Python, Go, Java, C++
• Orchestration: Kubernetes, Slurm
• DevOps Tools: Git, Docker, Helm
• Infrastructure as Code: Terraform
• ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn

Location and work authorization: This role is remote within EU countries. Applicants must be authorized to work in the EU and will be required to provide proof of employment eligibility.

How We Work With You

When you apply through Get A Job.ai, here's what happens next:

• You submit your application on our platform at getajob.ai
• Our recruiting team reviews your profile and conducts an initial screen
• If there's a strong match, we submit your profile to our client for consideration
• We coordinate all interview stages and provide guidance throughout the process
• Please do not contact the client directly—all communication flows through our team to ensure the best candidate experience

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and provide accommodations during the application process when needed.