AI/ML Specialist Solutions Architect

Amsterdam · Remote - EuropeRemotemid

Data ScienceOtherSpecialist Solutions Architect

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Quick Summary

Key Responsibilities

Designing customer-centric solutions that maximize business value and align with strategic goals. Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.

Technical Tools

Data ScienceOtherSpecialist Solutions Architect

Responsibilities

~1 min read

→Designing customer-centric solutions that maximize business value and align with strategic goals.
→Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
→Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
→Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.

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 in 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.

Nice to Have

~1 min read

Expertise in deploying inference infrastructure for production workloads.
Ability to transition ML pipelines from POC to scalable production systems.

Nice to Have

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Programming Languages – Python, Go, Java, C++
Orchestration – Kubernetes (K8s), Slurm
DevOps Tools – Git, Docker, Helm
Infrastructure as Code (IaC) – Terraform
ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn