NEORIS - AI Platform Engineer
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Requirements
• Mandatory • 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. • 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 (Terraform, CloudFormation or similar). • Experience with MLOps practices: 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 evaluation of reliability and cost. • Experience with Apache Spark and large‑scale data processing platforms. • Familiarity with GxP or regulated environments. • Experience working closely with cybersecurity and data privacy teams. • Exposure to AIOps practices and advanced observability tooling. • Cloud or Kubernetes‑related certifications.
Responsibilities
• Define and evolve the target architecture and roadmap for enterprise‑scale Data and AI platforms, covering experimentation, training, feature management, model registry, CI/CD, serving, and observability. • Design and build multi‑tenant, multi‑region, highly available AI platforms with clear governance and guardrails. • Partner with product management to define platform vision, backlogs, OKRs, and golden paths that enable self‑service from ideation to production. • Lead capacity planning and cost optimization strategies for GPU and CPU workloads, driving performance and scalability for distributed training and inference. • Integrate AI platforms with enterprise data ecosystems to enable governed, reproducible, and scalable ML pipelines. • Act as a technical leader, translating complex platform concepts into clear value propositions for senior stakeholders across R&D, Commercial, and Operations.
Benefits
• Permanent contract with a competitive salary. • Flexible working model with remote work options. • Personalized career path and continuous learning (certifications, English training, etc.). • Participation in stable, long‑term projects with high technical complexity. • Flexible working hours and strong work‑life balance focus. • Learn more about us at http://www.neoris.comFollow us on Facebook, LinkedIn, Twitter, or Instagram: @NEORIS • http://www.neoris.com • @NEORIS
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