Senior Applied AI Engineer
About the Company:
Founded in 2015, our client is an independent consulting firm specialized in insurance, actuarial projects, finance & process optimization. In partnership with an IT consulting firm specialized in process optimization and digital transformation, they combine technological innovation with sector expertise to deliver tailor-made, data-driven solutions in France and beyond. Together, their complementary teams of engineers, actuaries, and consultants create a unique environment where business meets technology.
About the Role:
Your contribution is to design, develop, and deploy applied artificial intelligence solutions that meet both internal and client needs.
Requirements:
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Minimum 4 years of relevant professional experience required.
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Strong skills in Python, SQL, Deep Learning, NLP/LLMs, Prompt Engineering, and MLOps.
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Business aware, creative, analytical, curious with a passion for turning AI research into real-world impact.
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Master’s Degree in Artificial Intelligence, Data Science, Computer Science, Applied Mathematics, Software Engineering.
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Upper-Intermediate English.
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Upper-Intermediate French would be a huge plus.
Responsibilities:
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Drive effective project delivery by actively participating in client projects and contributing to company activities.
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Improve decision-making & operational efficiency by developing, training, and integrating AI models tailored to internal and client business needs (LLM, NLP, Computer Vision, agent-based systems).
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Increase productivity & enable scalable content production by designing automated data processing and content generation solutions using prompt engineering techniques and AI pipelines.
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Ensure sustainability & reliability by contributing to the industrialization and reliability of AI projects (production deployment, MLOps, performance optimization).
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Collaborate with the AI & Data Science team to drive internal transformation projects — from code transpilation (SAS/R to Python) to automating reporting and analytics workflows.
What we offer:
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Long-term employment with competitive compensation, based on experience.
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Possibility to work remotely.
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An open, transparent and fun work culture.
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Multi-national team and collaborative work environment.
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Continuous knowledge sharing with engaged co-workers.
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Career and professional growth opportunities.