AI Platform Engineer — On-Prem MLOps for IP-Sensitive AI

Keysight Technologies; Barcelona; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Keysight Technologies is seeking an AI Platform Engineer to join the SOS AI platform team in Barcelona, tackling MLOps infrastructure that supports the AI lifecycle on-premises.

You'll design, build, and operate the platform, orchestrate experiments, ensure data provenance, and integrate with EDA workflows. Strong background in ML systems, LLMs, and GPU-enabled Python tooling is required for this challenging role.

Formación

• MS or PhD in CS, EE, or related field.
• 5+ years building production ML or data-intensive systems.
• Demonstrated experience building RAG and knowledge graph systems in production.
• Hands-on expertise with LLMs: embeddings, fine-tuning, prompt and context engineering, evaluation, and open-weights models for on-prem inference.
• Strong command of vector databases, graph databases, and low-latency retrieval infrastructure at scale.
• Experience with agentic memory management and the MCP or comparable agent-grounding interfaces.
• Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face).
• ML applied to semiconductor applications, especially RF/microwave, valued.
• Familiarity with data governance, access control, and provenance in IP-sensitive environments is a plus.

Responsabilidades

• Design, build, and operate the SOS AI platform orchestration, tracking, messaging, and application services that run the AI/ML lifecycle on-premises.
• Build experiment orchestration as versioned, reproducible workflows, with run context, task dependencies, execution tracking, and reliable replay.
• Implement asset registries and end-to-end lineage so every model, dataset, and result is traceable to inputs, parameters, and workflow version that produced it.
• Package and deploy the platform as a self-contained system that runs reliably in customer environments without dependence on external services.
• Integrate the platform with engineering and EDA workflows so data flows cleanly between tools and the experiment substrate.
• Own platform reliability and performance: observability, scaling, upgrade paths, and operational tooling for back-end services.
• Establish access control, audit trails, and reproducibility guarantees appropriate for IP-sensitive engineering data.
• Collaborate with ML engineers, product, and customers to turn AI/ML workflow needs into durable platform capabilities.

Conocimientos

Production ML systems

RAG & knowledge graphs

LLMs on-prem inference

Vector/Graph DBs & low-latency

Agentic memory management / MCP

Python & ML frameworks (PyTorch, HF)

API design / software engineering

Educación

MS/PhD in CS/ECE or related

Herramientas

PyTorch

Hugging Face

On-prem deployment tooling

Descripción del empleo

Keysight Technologies is seeking an AI Platform Engineer to join the SOS AI platform team in Barcelona, tackling MLOps infrastructure that supports the AI lifecycle on-premises.

You'll design, build, and operate the platform, orchestrate experiments, ensure data provenance, and integrate with EDA workflows. Strong background in ML systems, LLMs, and GPU-enabled Python tooling is required for this challenging role.