Senior Backend Developer with MLOps Experience

il y a 22 heures


Paris, Île-de-France GetVocal AI Temps plein

GetVocal AI

is a dynamic startup pioneering the next frontier of voice-based conversational AI for enterprise applications. Our technology combines advanced speech recognition and natural language processing to enable seamless, human-like phone interactions between users and AI agents. We are committed to transforming customer service and engagement with innovative and reliable AI systems.

We are looking for a
senior Python backend developer with MLOps experience
to join our team.

Responsibilities

  • Design, build, and optimize backend services powering our voice conversational AI platform.
  • Maintain and improve our production AI inference and data pipelines.
  • Develop scalable APIs and microservices using Python and FastAPI.
  • Implement and manage MLOps workflows, including containerization, orchestration, model deployment, and GPU-based workloads.
  • Monitor system performance and reliability, and implement improvements to ensure low-latency, high-availability operation.
  • Collaborate closely with ML researchers, product teams, and speech engineers.
  • Contribute to technical documentation, research publications, and patent applications showcasing our innovations.

Qualifications

  • 5+ years of professional backend development experience (or equivalent).
  • Strong proficiency in 
    Python

    FastAPI
    , and 
    asynchronous programming
    .
  • Hands-on experience with 
    MLOps
    , including Kubernetes, Docker, and GPU-based deployment.
  • Experience building scalable, production-grade API services.
  • Familiarity with speech recognition, conversational AI, virtual assistants, or related domains is a plus.
  • Nice to have:
     publications at top ML/AI conferences (NeurIPS, ICLR, ICML, ACL, NAACL, EMNLP, EACL, CVPR, ICCV, ECCV).

Benefits

  • Highly competitive salary and stock options, based on experience and performance.
  • Comprehensive health, dental, and vision insurance.
  • Flexible working hours and remote-work options.
  • Dynamic, inclusive environment with strong emphasis on innovation and teamwork.

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