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Expleo

End-to-end engineering, tech consulting, quality services

AI Solution Architect

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Several years of experience in the architecture, implementation, and operation of AI and machine-learning solutions are required.
  • Strong knowledge of generative AI, large language models, multimodal language models, and retrieval-augmented generation, including architecture, prompt engineering, fine-tuning, and agent orchestration, is required.
  • Experience with frameworks such as LangChain, LangGraph, or Haystack is required.
  • Very good Python programming skills and practical experience with continuous integration and continuous delivery pipelines are required.
  • Knowledge of cloud environments such as Azure, AWS, Google Cloud Platform, or Databricks; container technologies such as Docker and Kubernetes; and infrastructure as code using Terraform is required.
  • Familiarity with MLOps, including MLflow, deployment, observability, and governance, is required.
  • Knowledge of compliance and security, such as GDPR, ISO/IEC 27001/27701, and TISAX, is required.
  • Experience designing digital solutions and presenting them to customers is required.
  • A completed degree in Computer Science, Mathematics, Data Science, or a comparable field is required.
  • Fluent German at least at C1 level and good English skills are required.

Responsibilities

  • Design, develop, and scale enterprise AI and machine-learning solutions.
  • Build and optimize MLOps pipelines for continuous integration and delivery, deployment, monitoring, and retraining.
  • Optimize model performance and orchestrate models in production environments.
  • Ensure robustness, fairness, compliance, and security in AI applications.
  • Work closely with data scientists and engineers on data pipelines, feature stores, and model validation.
  • Select and integrate modern tools, frameworks, and architectures.
  • Contribute to standards, best practices, and the strategic AI/ML roadmap.
  • Coach and mentor junior- and mid-level engineers.

Desired Qualifications

  • Knowledge of software engineering practices, including clean code, design patterns, and testing.
  • Experience with project or team management and methodologies such as Scrum and CRISP-DM.
  • Practical experience with local language models and tools such as Llama.cpp, Ollama, vLLM, and Unsloth, and machine-learning libraries such as PyTorch, scikit-learn, and OpenCV.
  • Experience building AI platforms for enterprise search, test automation, and coding agents.
  • Knowledge of data analysis, statistics, Tableau, and R.
  • Certifications in AI, machine learning, cloud, or software engineering.

About the Company

Expleo

End-to-end engineering, tech consulting, quality services

Expleo provides end-to-end engineering, technology consulting, and quality services to help businesses with digital transformation. It combines software quality assurance and testing with engineering and R&D capabilities to design, build, test, deploy, and maintain software-enabled and engineered systems. It stands out by integrating software quality expertise with broader engineering and digital-transformation offerings under one umbrella for industries like banking and telecommunications. Its goal is to help organizations navigate digital transformation by delivering reliable, efficient, and scalable software and systems.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Montigny-le-Bretonneux, France
Founded
1966

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