Cinemo

Senior AI/ML Engineer – NLP, LLM, GenAI

Cinemo

full-time

Posted on:

Location Type: Hybrid

Location: Budapest • Hungary

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Job Level

Senior

Tech Stack

CloudKerasPythonPyTorchTensorflow

About the role

  • Lead GenAI / LLM / NLP research, development, tuning, and deployment for intelligent cockpit and infotainment experiences.
  • Design, implement, and operate production-grade AgenticAI frameworks (tool use, planning, memory, orchestration) within Cinemo’s middleware architecture.
  • Build and run cloud-based services and pipelines for scalable deployment, monitoring, and continuous improvement of GenAI systems.
  • Develop prompt engineering strategies and guardrailing mechanisms to meet automotive-grade requirements (safety, policy, latency, cost, quality).
  • Establish automated evaluation and benchmarking for non-deterministic systems (offline/online evaluation, regression testing, A/B testing).
  • Collaborate across teams to connect cloud GenAI capabilities with in-vehicle environments across diverse automotive hardware and OS platforms.

Requirements

  • PhD or M.Sc. in Computer Science, Machine Learning/AI, Data Science, Computational Linguistics, Electrical Engineering, Robotics, or a closely related field.
  • Strong experience in NLP, Machine Learning, Deep Learning, and data preprocessing in production-oriented environments.
  • Proven expertise with Transformer architectures and modern LLM ecosystems, including adaptation and evaluation for real-world applications.
  • Experience with AgenticAI concepts and agent frameworks (e.g., orchestration patterns, tool calling, retrieval, planning) and how to evaluate them.
  • Experience deploying and operating ML/GenAI systems in cloud-based infrastructures (e.g., containerization, CI/CD, monitoring, scalable services).
  • Proficiency in Python and common ML frameworks (PyTorch, TensorFlow, Keras) with strong written and spoken English communication skills.
Benefits
  • Flexible work arrangements
  • Professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
NLPMachine LearningDeep Learningdata preprocessingTransformer architecturesAgenticAIcloud-based infrastructurescontainerizationCI/CDPython
Soft Skills
communication
Certifications
PhDM.Sc.