Senior AI Solutions Engineer - Enterprise ML to Production

Jobgether; Lavamünd; Vor Ort; EUR 174.000 - 304.000; Vollzeit

Benefits dieser Stelle

Competitive base salary

Comprehensive benefits

Flexible work arrangements

Professional growth

Impactful AI projects

Global team

Zusammenfassung

Jobgether is seeking a Senior Applied AI Solutions Engineer based in Switzerland. The role blends advanced ML engineering, customer success, and product development to move enterprise workloads from proof of concept into production.

You will spend about half of your time with customers, solving technical challenges and accelerating platform adoption, while the rest builds prototypes and explores new AI techniques across the product portfolio.

Qualifikationen

• Hands-on ML systems experience including fine-tuning models and distributed training.
• Experience with PyTorch, Hugging Face, CUDA, Kubernetes for ML, MLflow, and vector databases.
• Experience with enterprise ML teams in a solutions/customer engineering capacity.
• Ability to translate research into working implementations.
• Strong ML infrastructure understanding and debugging across the stack.
• Excellent communication for technical and business audiences.
• Customer orientation with engineering rigor.
• Ability to handle varied environment: customer problems, rapid prototyping, product feedback.
• Experience in Physical AI, robotics, healthcare, or enterprise AI applications is a plus.
• Familiarity with Kubeflow, Metaflow, Argo, or Ray is a plus.
• Experience at a cloud provider or AI infrastructure company is beneficial.
• Publicly shared technical work is a plus.

Aufgaben

• Build polished prototypes and demos across serverless inference, MLflow, MLOps, and applied AI use cases, including Physical AI and healthcare.
• Support enterprise customers hands-on through proof-of-concept design, onboarding, validation, and transition to production.
• Act as a technical bridge between customer ML teams and the platform, diagnosing challenges and accelerating adoption.
• Research emerging applied AI techniques and turn discoveries into working prototypes.
• Translate research and customer experience into technical write-ups, recommendations, and product feedback.
• Identify recurring issues across deployments and inform the product roadmap with evidence.
• Develop reusable assets like notebooks, reference architectures, benchmarks, and guides.
• Collaborate with sales, product, engineering to convert insights into practical solutions.
• Track AI ecosystem developments to anticipate trends over the next 6–12 months.

Kenntnisse

Fine-tuning large models

Distributed training debugging

Production-grade ML pipelines

GPU-based inference optimization

PyTorch

Hugging Face

CUDA fundamentals

Kubernetes for ML

MLflow

Vector databases

Enterprise ML collaboration

Tools

Kubeflow

Metaflow

Argo

Ray

MLflow

Jobbeschreibung

Jobgether is seeking a Senior Applied AI Solutions Engineer based in Switzerland. The role blends advanced ML engineering, customer success, and product development to move enterprise workloads from proof of concept into production.

You will spend about half of your time with customers, solving technical challenges and accelerating platform adoption, while the rest builds prototypes and explores new AI techniques across the product portfolio.