Technical Project Manager (AI/LLM)
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SeniorFull-time
#384448·Dodano wczoraj·0
Źródło: nofluffjobs.comTech 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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