Technical Project Manager (AI/LLM)

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SeniorFull-time
#384448·Dodano wczoraj·0
Źródło: nofluffjobs.com
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Tech Stack / Keywords

DockerKubernetesOpenShiftLLM

Firma i stanowisko

The project covers the full lifecycle of AI/LLM based solutions including architecture design, AI model implementation and integration, production deployment, and maintenance. It involves services such as translation, transcription, semantic search, and GPU/token usage billing (cross-charging).

Wymagania

  • Minimum 4–5 years experience as a Technical Project Manager, Scrum Master, or Product Owner.
  • Practical experience managing projects with Agile/Scrum methodologies.
  • Experience deploying solutions based on LLM and speech processing models (e.g., Whisper).
  • Knowledge of Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and model fine-tuning.
  • Experience working with AI/ML, DevOps, and Security teams.
  • Familiarity with container environments Docker, Kubernetes, or OpenShift.
  • Ability to manage stakeholders and communicate with technical and business teams effectively.
  • Good command of the English language.

Nice to have:

  • Experience with vLLM, Ollama, or Triton Inference Server.
  • Knowledge of GPU infrastructure and AI model deployment.
  • Experience with public clouds (AWS, Azure, GCP).
  • Familiarity with SaaS/PaaS solutions and billing systems.
  • Experience integrating with financial-accounting systems.
  • Knowledge of GDPR (RODO) and AI Act regulations.

Obowiązki

  • Managing AI implementation projects using Agile/Scrum methodologies.
  • Planning, coordination, and oversight of the entire project lifecycle.
  • Collaboration with AI/ML, DevOps, Security, and Software Development teams.
  • Managing schedules, budgets, risks, and stakeholder communications.
  • Coordinating implementations of solutions based on LLM and speech processing technologies.
  • Supporting architecture design of solutions using Retrieval-Augmented Generation (RAG) and language models.
  • Coordinating integrations with business and financial-accounting systems.
  • Supervising production deployment and maintenance phases.
  • Ensuring project compliance with security requirements, GDPR (RODO), and AI Act.
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