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Talan

Agile IT transformation consulting and delivery

AI Engineer

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeÎle-de-France, France

About the Job

Requirements

  • A Bac +5 degree or doctorate in applied mathematics, computer science, data science, or a related field.
  • At least 5 years of experience on AI, data science, or machine learning projects.
  • Excellent command of Python and AI frameworks for large language models, machine learning, and deep learning.
  • Solid experience with generative AI architectures, including large language models, retrieval-augmented generation, AI agents, and multi-agent systems.
  • Good understanding of machine learning and deep learning fundamentals.
  • Knowledge of MLOps/LLMOps practices and cloud environments.
  • Scientific rigor and technical excellence.
  • Ability to communicate and interact with business, technical, and executive stakeholders.
  • Analytical mindset and innovation orientation.
  • Technical leadership and autonomy.

Responsibilities

  • Gather and analyze business needs related to artificial intelligence use cases.
  • Design, train, and optimize machine learning and deep learning models and large language model architectures.
  • Develop advanced applications based on retrieval-augmented generation, AI agents, and multi-agent architectures, including orchestration, memory, and tools.
  • Build and evolve fine-tuning, evaluation, and prompt-engineering pipelines.
  • Design knowledge-graph and vector-database architectures for semantic search and augmented-reasoning use cases.
  • Industrialize AI models and agents using APIs, MLOps/LLMOps pipelines, monitoring, and continuous improvement.
  • Monitor production model performance and lead optimization of cost, latency, and quality.
  • Contribute to the practice’s offerings, technical assets, research and development, and innovation initiatives.
  • Benchmark AI, generative AI, and agentic AI solutions, and advise clients on technology choices suited to their needs.
  • Create proofs of concept, minimum viable products, and demonstrators to validate the business value of AI use cases.
  • Participate in client engagements for scoping, AI awareness, and definition of AI roadmaps.
  • Participate in internal innovation and research and development projects involving generative AI, large language models, and intelligent agents.
  • Share knowledge, animate expert communities, and deliver internal training.

About the Company

Talan

Agile IT transformation consulting and delivery

Talan is a European consulting and IT services group that helps organizations transform and adapt to fast-changing environments. It offers a full range of services from strategic business consultancy to packaged IT solutions, including production support, software development, business analysis, and nearshore delivery. The company works by deploying multidisciplinary teams across its global offices to guide clients through agile transformations, change programs, and IT modernization. Talan differentiates itself through its international footprint, sector focus on Major Service Operators, and a culture built on transparency, respect, teamwork, entrepreneurial spirit, and commitment. With strong organic growth and a large pool of over 3,500 consultants, its goal is to create and share value for clients while coaching and developing its people—empowering customers to transform and compete more effectively.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$110M
Headquarters
Paris, France
Founded
2002

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