Sales service engineer

il y a 1 semaine

Paris, Île-de-France zeroG - AI in Aviation Temps plein
Diabolocom enables organizations worldwide to build brand loyalty and drive sales growth.

Our innovative cloud-based solution leverages its proprietary AI technologies to optimize contact centers of medium to large sizes, enabling efficient management of customer interactions across all communication channels.

As a telecom operator, we ensure premium voice quality, efficient handling of high call volumes, and provide phone numbers worldwide.

Our comprehensive range of AI services, specifically designed for customer relations, elevates data quality and automates tasks. These services, fully integrated into our cloud contact center solutions, are also accessible through APIs in multiple languages.

We empower Customer Service and Sales teams to effectively handle all inbound and outbound interactions thanks to our state-of-the-art dialer.

Our solution seamlessly integrates with leading CRMs and offers real-time monitoring and analytics capabilities.

Diabolocom, with offices across Europe, the USA, Brazil, and the UAE, proudly serves 350+ clients, with agents operating from 60+ countries.

Join our team as a Machine Learning Research Engineer and play a key role in the development and maintenance of our AI-based systems.

More concretely, our projects predominantly focus on text and speech data, emphasizing Natural Language Processing (NLP) and speech processing, including ASR, speech analysis, and denoising systems.

There is a possibility for the engineer to contribute to open-source related project and writing of blogs/scientific publications and proposals for research funding calls depending on their interest.

Conceiving and developing end-to-end AI systems, from data collection and processing to module development, and evaluation methods and metrics.


  • Defining and implementing AI systems, creating data pipelines, and incorporating features based on infrastructure and performance requirements.
  • Defining data collection, annotation, and processing protocols, developing processing pipelines, and creating datasets for specific applications.
  • Managing data collection and processing for training and testing machine learningbased systems.
  • Analyzing data to optimize products, adapting models, reconsidering modalities, and creating new user behavior metrics.
(Optional)Contributing to publications such as blogs, scientific articles, and interviews.
Python

  • Machine learning libraries like TensorFlow, PyTorch, ONNX and huggingface's transformers library
  • Database technologies like MongoDB and SQL
  • Version control tools: git/github
Speech recognition (also known as speech-to-text, ASR, automatic transcriptions)

  • Excellent programming skills handling (software engineering skills)
  • Excellent handling of python and MLrelated libraries and tools
  • Background in research (ideally has a PhD in Speech/Language tech, but can also have worked in a lab, on research project in the industry not just in an R&D team but on actual research projects)
  • Proficient in written and spoken English
Good C++ and C skills

  • Expertise in NLP or specifically LLMs handling

All qualified applicants will receive equal consideration for employment without regard to color, language, religion, sex, sexual orientation, gender identity, national or social origin, opinion disability, age.

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