Expert-e ou référent-e IA

About the role

About Ippon Technologies

Ippon Technologies operates as a consulting and technology expertise firm. Since 2002, the company has partnered with organizations to design and deploy innovative, robust, and sustainable technological solutions. Its workforce exceeds 600 collaborators worldwide. Core values include excellence, teamwork, and self-improvement. The firm specializes in cloud, data, artificial intelligence, IT architecture, product design, and software development. It supports ambitious organizations throughout their digital transformation journeys.

The Lyon Office

The Lyon office hosts approximately sixty consultants. Teams engage in projects with high technical or strategic value. A culture of learning and collective intelligence guides daily work. Expertise spans software, cloud, data, DevOps, architecture, product, and design.

Join the Champions League Data

IA

The Data and IA practice includes seventy-five consultants, ten of whom specialize in artificial intelligence. The team maintains strong momentum in generative AI, large language models, and MLOps. It conducts framing, ideation, and delivery projects for major accounts and innovative clients.

Your Missions

You will identify high-potential artificial intelligence use cases derived from operational pain points and business needs. You will evaluate technical feasibility and business value for proposed solutions. You will design and pilot proof of concepts to test hypotheses, whether classical or generative. You will collaborate with product owners, UX designers, data stewards, and architects. You will apply an AI by design approach across the product lifecycle. You will participate in scoping workshops to surface requirements and opportunities. You will contribute to regulatory compliance, such as the European AI Act. You will structure an AI backlog to retain insights from unused use cases.

Required Technical Skills

You demonstrate solid fundamentals in machine learning, deep learning, and natural language processing. You command at least one framework such as TensorFlow, PyTorch, or Hugging Face. You understand large language models, fine tuning, retrieval augmented generation, and alignment methods. You design proof of concept work using rigorous experimentation and data structuring. You possess knowledge of data and AI architecture, artificial intelligence pipelines, and MLOps. You are comfortable with major public clouds, including AWS, Azure, or Google Cloud Platform.

Required Personal and Relational Qualities

You practice consultant behaviors, including listening, teaching, and enabling non-technical stakeholders. You organize information, document decisions, and maintain rigor in analysis and deliverables. You prioritize tasks, translate complex ideas simply, and work autonomously. You actively monitor artificial intelligence trends and product, data, and ethical practices.

Profile Sought

You bring more than five years of applied experience in data science, machine learning engineering, or product artificial intelligence. You operate effectively in multi-project environments where agile delivery and product framing intersect.

What Ippon Offers

The firm provides a personalized BlackBelt training path. Employees receive five days of paid release time for training annually. Internal training, capitalization bonuses, and mentoring are available. Remote work is possible two days per week. The company culture includes afterwork events, yoga, rock climbing, running, and a sports coach. A supportive framework is based on sporting values such as effort, mutual aid, and progress.

Reference Location

This role is remote.

Engagement Type

This is a permanent position.

Compensation Range

The annual salary ranges from 45000 to 55000 euros.

Key Responsibilities Summary

You will design evaluation frameworks for generative AI experiments. You will orchestrate cross-functional collaboration to align product vision. You will conduct feasibility probes balancing technical limits against business outcomes. You will architect MLOps pipelines supporting reliable data flow and model behavior. You will champion compliance thinking for emerging artificial intelligence regulations. You will prioritize backlog items to focus on high-impact use cases. You will facilitate discovery sessions to clarify requirements for data and artificial intelligence. You will coach teams on product thinking so artificial intelligence serves user needs. You will structure documentation capturing decisions and context for future exploration. You will ship validated learning artifacts guiding stakeholders through responsible adoption.

Requirements Summary

You hold strong fundamentals for machine learning, deep learning, and natural language processing. You command at least one framework such as TensorFlow, PyTorch, or Hugging Face. You understand large language models, fine tuning, retrieval augmented generation, and alignment techniques. You design proof of concept work using rigorous experimentation and data structuring. You possess data and AI architecture sense plus pipeline and MLOps knowledge. You feel comfortable with major public clouds including AWS, Azure, or Google Cloud Platform. You bring more than five years of applied experience in data science, ML engineering, or product AI. You thrive in multi-project environments where agile delivery and product framing meet.

Optional Skills and Interests

Interest in product culture, data ethics, and emerging practice standards is valued.

Tools and Domains

Data, artificial intelligence, software, cloud, DevOps, architecture, product, design.

Practical Information

Please What you'll do