Senior ML Solutions Architect — Remote Europe

Jobgether

Netherlands

Remote

EUR 120,000 - 190,000

Full time

7 days ago
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Benefits offered by this job

Fully remote work from Europe
Career growth and learning
Autonomy and ownership
International environment
Impactful AI infrastructure projects

Job summary

Jobgether, partnering with a client in the Netherlands, seeks a Senior ML Solutions Architect to lead serverless LLM deployments and bespoke AI solutions across multimodal models. You will guide customers from PoC to production, optimize inference, and tune models with a focus on reliability and cost efficiency.

Remote across Europe, you will work with cross-functional teams to translate needs into scalable AI architectures and platform improvements.

Qualifications

  • Extensive experience delivering ML/AI systems with focus on LLMs and generative AI.
  • Strong practical experience with deploying and operating inference workloads at scale.
  • Proficient in fine-tuning (SFT/LoRA) and data preparation for production.
  • Experience building evaluation pipelines and RL-based fine-tuning is a plus.

Responsibilities

  • Optimize LLM inference workflows across modalities to meet customer requirements.
  • Design and implement LLM-powered solutions using serverless services and open-source models.
  • Provide guidance on prompt engineering, RAG architectures, and deployment strategies.
  • Assist customers through transition from PoC to production focusing on performance and reliability.
  • Collaborate with product and engineering to address platform gaps and roadmap.

Skills

Python
LLM/AI systems
Serverless inference
Prompt engineering
RAG architectures
Multimodal models
Docker/Kubernetes
Cloud platforms
Communication

Tools

vLLM
Transformers
TensorRT-LLM
LoRA
SFT

Job description

Jobgether, partnering with a client in the Netherlands, seeks a Senior ML Solutions Architect to lead serverless LLM deployments and bespoke AI solutions across multimodal models. You will guide customers from PoC to production, optimize inference, and tune models with a focus on reliability and cost efficiency.

Remote across Europe, you will work with cross-functional teams to translate needs into scalable AI architectures and platform improvements.

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