AI Platform & LLMOps Expert (Principal / Lead)

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SeniorOn-siteFull-time

#448589·Dodano 25 dni temu·1

Źródło: Emergesoft

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Tech Stack / Keywords

AWS Azure GCP Kubernetes Terraform Ansible CI/CDLLMOpsMLOpsSRE

Firma i stanowisko

Emergesoft is working for an international FinTech & Telecom group building a world-class AI capability to power next-generation financial services across multiple markets. The client operates high-volume transactional platforms with billions of mobile money accounts and transactions.

Wymagania

Minimum 8–10 years in software, platform, cloud, or Site Reliability Engineering (SRE), including 2–3 years leading or guiding engineering teams.
Proven hands-on experience building and running enterprise-grade cloud platforms, Infrastructure as Code, containers, and automated pipelines.
Practical experience operating LLM or ML workloads in production, focusing on model evaluation, monitoring, tracing, and cost management.
Strong proficiency with cloud platforms (AWS, Azure, GCP), Kubernetes/containers, Infrastructure as Code (Terraform, Ansible), and secrets management.
Demonstrated experience with on-call shifts, incident response leadership, and root-cause analysis in high-availability environments.
Exposure to regulated environments with formal change management, audit, and security requirements.

Nice to have:

Recognized cloud, platform, or SRE certifications (e.g., AWS/Azure DevOps/Solutions Architect, CKA, TOGAF).
Postgraduate qualification (Master's degree) in a technical field.
Experience in FinTech, banking, or other high-volume transactional platforms.

Obowiązki

AI Platform & Release Mechanics: Build and maintain multi-environment AI platform infrastructure, CI/CD pipelines, container orchestration, and release mechanics.
Model Operations & LLMOps: Manage production model lifecycle, including provisioning, dynamic routing, versioning, fallback strategies, latency optimization, and cost control.
Evaluation & Quality Gates: Build and own evaluation harnesses, regression test suites, and pre-release quality gates ensuring model/agent safety and performance.
Observability & Incident Leadership: Design full observability stack (monitoring, tracing, alerting) and hold production accountability including on-call and incident response.
Application Interfaces & APIs: Deliver full-stack applications, developer interfaces, and APIs for consuming AI capabilities.

EmergeSoft

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