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AI Platform Engineer

3 weeks, 2 days ago
Spain
Full-time
Lead
Machine Learning Engineer
DevOps and Infrastructure
Apache Spark AWS CI/CD Cybersecurity Kubernetes MLOps Python Terraform
Apply Now
NEORIS

NEORIS

NEORIS is a leading global IT consulting company specializing in nearshore outsourcing services and SAP solutions, empowering companies to innovate through digital transformation.

Internet Software & Services
5K-10K
Founded 2000
View All Jobs 62

Description

  • Define and evolve the target architecture and roadmap for enterprise-scale Data and AI platforms.
  • Design and build multi-tenant, multi-region, highly available AI platforms with governance and guardrails.
  • Partner with product management to define platform vision, backlogs, OKRs, and self-service golden paths.
  • Lead capacity planning and cost optimization for GPU and CPU workloads.
  • Drive performance and scalability for distributed training and inference workloads.
  • Integrate AI platforms with enterprise data ecosystems to support governed and reproducible ML pipelines.
  • Act as a technical leader and communicate platform value to senior stakeholders across R&D, Commercial, and Operations.

Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related quantitative field.
  • Proven experience as a platform or infrastructure engineer supporting ML/AI at scale.
  • Hands-on experience with Domino Data Lab.
  • Strong experience with AWS or equivalent cloud providers, including compute, storage, networking, IAM, and cost management.
  • Production experience administering EKS clusters, including GPU workloads, operators, storage classes, and service mesh.
  • Strong Python development experience, especially for platform automation and tooling.
  • Solid background in Infrastructure as Code such as Terraform, CloudFormation, or similar tools.
  • Experience with MLOps practices, including model pipelines, lifecycle management, CI/CD, and monitoring.
  • Experience with LLM serving, RAG architectures, vector databases, prompt safety, and token-aware scaling.
  • Experience designing and operating agentic systems, including multi-agent orchestration, tool/action frameworks, safety guardrails, and reliability and cost evaluation.
  • Experience with Apache Spark and large-scale data processing platforms is preferred.
  • Familiarity with GxP or regulated environments is preferred.
  • Experience working closely with cybersecurity and data privacy teams is preferred.
  • Exposure to AIOps practices and advanced observability tooling is preferred.
  • Cloud or Kubernetes-related certifications are preferred.

Benefits

  • Permanent contract with a competitive salary.
  • Flexible working model with remote work options.
  • Personalized career path with continuous learning opportunities, including certifications and English training.
  • Participation in stable, long-term projects with high technical complexity.
  • Flexible working hours with a strong focus on work-life balance.
  • Social benefits package tailored to individual needs.

Interested in this position?

Apply directly on the company website

Apply Now

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