Senior Applied AI Solutions Engineer — Enterprise ML & Prototyping

Jobgether SRL; France; Sur place; EUR 176 000 - 308 000; Plein temps

Avantages offerts par ce poste

Competitive-compensation

Flexible working arrangements

Career development

Collaborative environment

Impactful AI projects

Résumé du poste

Jobgether SRL seeks a Senior Applied AI Solutions Engineer in France to bridge customer needs with AI platform capabilities. You will move ML workloads from proof-of-concept to production and spend significant time directly with enterprise customers solving technical challenges.

You will prototype across inference, MLOps, databases, and agentic architectures, while influencing product priorities through hands-on feedback and technical leadership.

Qualifications

• Strong hands-on experience with modern machine learning systems, including fine-tuning large models, debugging distributed training workloads, building production RAG or agentic pipelines, and optimizing GPU-based inference.
• Fluency across the modern ML technology stack, including PyTorch, Hugging Face, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent platforms, and vector databases.
• Experience working directly with enterprise ML teams, in a solutions engineering, customer engineering, ML engineering, or related capacity.
• Ability to research emerging techniques, read papers, and translate findings into working implementations.
• Strong understanding of ML infrastructure and ability to troubleshoot complex workloads.
• Excellent communication skills for audiences from ML engineers to business leaders.
• Strong customer orientation with engineering rigor.
• Ability to work in varied environment with rapid prototyping and product feedback.
• Experience in Physical AI, healthcare, or enterprise AI apps is an advantage.
• Familiarity with large-scale MLOps technologies (Kubeflow, Metaflow, Argo, Ray) a plus.
• Previous experience at cloud providers or AI infrastructure companies is beneficial.
• Publicly shared technical work (notebooks, talks, articles) is a plus.

Responsabilités

• Build polished prototypes and demonstrations across serverless inference, databases, MLflow, MLOps, and applied AI use cases, including Physical AI and healthcare applications.
• 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 value realization.
• Research emerging applied AI techniques and turn discoveries into prototypes.
• Translate research and customer experience into technical write-ups, recommendations, and product feedback.
• Identify recurring issues across deployments and provide input to shape the product roadmap.
• Develop reusable assets like notebooks, reference architectures, benchmarks, and implementation guides.
• Collaborate with sales, product, engineering, and customer teams to convert insights into practical solutions.
• Track AI ecosystem developments to anticipate trends over 6–12 months.

Connaissances

ML engineering

PyTorch

Hugging Face

CUDA fundamentals

Kubernetes for ML

MLflow

Vector databases

Communication skills

Outils

Kubeflow

Metaflow

Argo

Ray

Description du poste

Jobgether SRL seeks a Senior Applied AI Solutions Engineer in France to bridge customer needs with AI platform capabilities. You will move ML workloads from proof-of-concept to production and spend significant time directly with enterprise customers solving technical challenges.

You will prototype across inference, MLOps, databases, and agentic architectures, while influencing product priorities through hands-on feedback and technical leadership.