Middle Data Scientist - LLM Engineer

February 19

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Diabolocom

Diabolocom is an AI-powered omnichannel platform designed to transform customer interactions by enhancing automation and agent support in contact centers. Their offerings include advanced features such as AI agents, call summarization, sentiment analysis, and dynamic call distribution. Trusted by global industry leaders, Diabolocom's cloud contact center solutions empower businesses to deliver exceptional customer experiences while optimizing agent productivity through seamless integrations with popular CRM systems.

📋 Description

• Diabolocom empowers organizations worldwide to build brand loyalty and drive sales growth through our innovative cloud-based solutions for contact centers. • Our dedicated AI team is at the forefront of developing AI solutions specifically designed for customer relations. • These include features like real time transcription, speech synthesis, call summarization, topics modeling, satisfaction analysis, quality monitoring, voicebots… • Easily integrated via our APIs, these AI services optimize customer satisfaction and operational costs while being proprietary, sovereign, and scalable. • With offices across Europe, the USA, Brazil, and the UAE, Diabolocom proudly serves over 350 clients with agents operating from more than 60 countries. • At Diabolocom, we believe the only way to get things done is to drive the company with a strong Product-centric approach, by engaging all stakeholders in shaping the vision and ensuring collaboration across teams to bring it to life. • Your main missions will consist of: • Working with state-of-the-art proprietary and Open Source language models, transforming user scenarios and product applications into optimized AI models. • Operating and perfecting systems for qualifying and automating this process, including generation of synthetic data and collection of detailed precision metrics. • Continuously refining, documenting and optimizing PROMPT structures, using anonymized synthetic & customer data to refine the accuracy of the model. • Architecting and documenting the optimal use of JSON schemas by developing structured data architectures from natural language tasks. • Python programming to implement and test models for automatic correction/improvement of JSON schemas. • Refining qualitative benchmarks dataset and evaluation pipelines. • Train models to reason fast and efficiently. • As a Data Scientist LLM Engineer, you will join the AI team and work in collaboration with Tom, our Head of AI Ops, alongside Aleksei, Baptiste, and our AI Tech team.

🎯 Requirements

• Master's or Ph.D. degree in Computer Science, Data Science, or a related field. • At least 5 years of experience working on orchestrating Language Models/Machine Learning in business cases. • Proven track record of working on NLP projects, with a focus on LLM and RAG frameworks. • Fluency in Python programming • Experience with deep learning frameworks such as TensorFlow or PyTorch for training and fine-tuning LLM models. • A genuine interest in Data/ Telecom / innovative solutions in modern consumer technologies. • Organizational and leadership abilities. • Curiosity and autonomy • Excellent oral and written communication skills in French and in English • Test driven development practitioner • Agentic workflows experience

🏖️ Benefits

• Working in autonomy and having a lot of responsibilities in the implementation of the roadmap. • Being in interaction with all of our different teams (developers, QA, Sales team, Support team, Project team). • Being part of a nice team where everyone has a voice can have an impact. • You’ll have the chance to work in a multicultural environment with colleagues coming from 5 different countries and 10 different nationalities. 🇨🇵 🇩🇪 🇪🇦 🇮🇹 🇬🇧 • This position is 100% remote, to adapt to the AI team organization. You will have the opportunity to work occasionally from our Paris office, located 100 meters from the Opera Garnier! • Team building events : Ibiza, Porquerolles and Corsica… what’s next? 😎 • Be part of a company at a key moment of its growth, with lots of opportunities 🚀 • You’ll be lucky to join a team that is big enough to thrive but also small enough to actually have an impact on the success of the organization.

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