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Publié il y a 29 jours
AI Platform & MLOps Engineer (M/F) (F/H)
Entreprise
Université PSLÉcole / Formation
Localisation
Paris, Île-de-France
Sur site
Type de contrat
CDI
Niveau
Salaire du marché
Médiane du marché
54k€
53k€fourchette habituelle63k€
Cette offre n'affiche pas de salaire. D'après 43 offres pour ce poste (tous niveaux, Paris), le marché se situe autour de 54k€ (53k€–63k€).
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Description du poste
Structure d'accueil
The "Institut Curie" is a major player in the research and fight against cancer. It consists of a hospital and a Research Center of more than 1000 employees with a strong international representativeness.
The objective of the Curie Institute Research Center is to develop basic research and to use the knowledge produced to improve the diagnosis, prognosis, and therapeutics of cancers as part of the continuum between basic research and innovation serving the patient.
Missions
Activités principales
Contexte
Institute Curie is recruiting a Research Engineer) or Scientist in Artificial Intelligence (M/F) to join the AGORA project (AGentic Orchestration for Research and Clinical Applications in Oncology).
The ambition of AGORA is to design and validate one of the first agentic AI platforms fully dedicated to biomedical research and precision oncology. The platform will be capable of exploring complex biological data, integrating the latest medical knowledge, assisting molecular interpretation, and generating novel research hypotheses. To achieve this goal, AGORA combines large language models (LLMs), biomedical knowledge bases, bioinformatics tools, multi-omics datasets, and clinical data into a unified reasoning framework.
The project brings together experts in artificial intelligence, machine learning, and data science, specialists in health data integration and governance, researchers in systems biology and mechanistic modelling, as well as oncologists actively involved in precision medicine programmes.
The successful candidate will work at the interface of these different groups and will join the Bioinformatics Core Facility and INSERM U1331 Computational Oncology Unit, a highly interdisciplinary environment comprising approximately 100 researchers working in computational biology, bioinformatics, and artificial intelligence.
Main Responsabilities
The position is central to the project and aims to develop the scientific and technological foundations of a new generation of AI assistants for oncology.
As the main AI platform/MLOps engineer (M/F), you will:
• Design the core AI platform architecture and define standards best practices for the project.
• Develop production-ready AI services, APIs, and infrastructure supporting RAG and multi-agent workflows.
• Ensure reproducibility, lineage tracking, logging, auditing and traceability of AI workflows.
• Implement evaluation and continuous validation pipelines for LLM-based systems.
• Define and monitor operational, performance, quality and reliability metrics.
• Build and maintain observability frameworks for AI systems and LLM applications.
• Implement monitoring pipelines covering inference workloads, latency, availability, cost and user interactions.
• Contribute to deployment and operation of GPU and inference infrastructure.
• Work closely with the Institut Curie Data Office and IT teams to ensure compliance and security.
Profil du candidat
Savoirs et compétences attendus
Candidate Profile
Education
Technical Skills
• Strong Python development skills.
• Experience building APIs using FastAPI, Flask, or similar frameworks.
• Experience with SQL, NoSQL, and vector databases.
• Experience with Docker/Singularity and containerized environments.
• Familiarity with Linux systems and software engineering best practices.
• Experience developing and operating production-quality software.
• Experience with monitoring, logging, tracing, and observability tools.
• Knowledge of MLOps practices, CI/CD, and AI deployment workflows.
Preferred Qualifications
• Experience operating machine learning or LLM-based systems in production.
• Experience with ML Observability and AI infrastructure.
• Familiarity with OpenTelemetry, or similar tools.
• Experience monitoring model performance, data quality, and drift.
• Experience implementing evaluation frameworks for LLMs, RAG systems, or AI agents.
• Experience with Kubernetes and cloud-native technologies.
• Experience working with biomedical, healthcare, or other regulated data environments.
Personal Skills
• Strong problem-solving abilities.
• Rigorous and quality-oriented mindset.
• Ability to work independently while collaborating within multidisciplinary teams.
• Strong communication skills.
• Interest in research and innovation.
Why Join Us ?
AGORA offers a unique opportunity to help shape the next generation of AI systems for oncology by working on real-world scientific and clinical challenges alongside leading researchers and physicians.
The project brings together several of the most exciting areas of modern artificial intelligence, including large language models (LLMs), multi-agent systems, knowledge graphs, multi-omics data integration, biological modelling, and clinical decision support.
Beyond technology development, the ambition is to explore how agentic AI can become a genuine scientific partner-capable of reasoning over complex biomedical data, integrating up-to-date medical knowledge, supporting molecular interpretation, and generating novel research hypotheses.
At the intersection of fundamental research, data science, systems biology, and precision medicine, Institut Curie provides a world-class research environment with access to unique clinical and molecular datasets. You will work within a highly interdisciplinary team and benefit from significant scientific freedom, opportunities for high-impact publications, international collaborations, and participation in the development of future national and European research initiatives.
Contract Information
Contract type: Fixed-term contract (CDD)
Starting date: As soon as possible
Duration: 18 months
Salary: According to experience and institutional salary scales
Benefits: Subsidized staff restaurant, public transportation reimbursement (70%), Private health insurance, Hybrid work opportunities
Location: Institut Curie, Paris, France
Application
Send CV, cover letter, referees
Institut Curie is an inclusive, equal opportunity employer and is dedicated to the highest standards of research integrity.
https://euraxess.ec.europa.eu/sites/default/files/brochures/eur_21620_e…
Diplôme et expérience professionnelle
Bac+6 et plus
Non discrimination, ouverture et transparence
Notre établissement, comme l'ensemble de l'Université PSL, s'engage à soutenir et promouvoir l'égalité, la diversité et l'inclusion au sein de ses communautés. Nous encourageons les candidatures issues de profils variés, que nous veillerons à sélectionner via un processus de recrutement ouvert et transparent.
Contact
h28jnhvrd35k@emploi.beetween.com
Autres informations
Type de contrat / de poste CDD
Durée du contrat 18 mois
Quotité de travail
Référence
h28jnhvrd3
Publié le 26/08/2026
Postuler
The "Institut Curie" is a major player in the research and fight against cancer. It consists of a hospital and a Research Center of more than 1000 employees with a strong international representativeness.
The objective of the Curie Institute Research Center is to develop basic research and to use the knowledge produced to improve the diagnosis, prognosis, and therapeutics of cancers as part of the continuum between basic research and innovation serving the patient.
Missions
Activités principales
Contexte
Institute Curie is recruiting a Research Engineer) or Scientist in Artificial Intelligence (M/F) to join the AGORA project (AGentic Orchestration for Research and Clinical Applications in Oncology).
The ambition of AGORA is to design and validate one of the first agentic AI platforms fully dedicated to biomedical research and precision oncology. The platform will be capable of exploring complex biological data, integrating the latest medical knowledge, assisting molecular interpretation, and generating novel research hypotheses. To achieve this goal, AGORA combines large language models (LLMs), biomedical knowledge bases, bioinformatics tools, multi-omics datasets, and clinical data into a unified reasoning framework.
The project brings together experts in artificial intelligence, machine learning, and data science, specialists in health data integration and governance, researchers in systems biology and mechanistic modelling, as well as oncologists actively involved in precision medicine programmes.
The successful candidate will work at the interface of these different groups and will join the Bioinformatics Core Facility and INSERM U1331 Computational Oncology Unit, a highly interdisciplinary environment comprising approximately 100 researchers working in computational biology, bioinformatics, and artificial intelligence.
Main Responsabilities
The position is central to the project and aims to develop the scientific and technological foundations of a new generation of AI assistants for oncology.
As the main AI platform/MLOps engineer (M/F), you will:
• Design the core AI platform architecture and define standards best practices for the project.
• Develop production-ready AI services, APIs, and infrastructure supporting RAG and multi-agent workflows.
• Ensure reproducibility, lineage tracking, logging, auditing and traceability of AI workflows.
• Implement evaluation and continuous validation pipelines for LLM-based systems.
• Define and monitor operational, performance, quality and reliability metrics.
• Build and maintain observability frameworks for AI systems and LLM applications.
• Implement monitoring pipelines covering inference workloads, latency, availability, cost and user interactions.
• Contribute to deployment and operation of GPU and inference infrastructure.
• Work closely with the Institut Curie Data Office and IT teams to ensure compliance and security.
Profil du candidat
Savoirs et compétences attendus
Candidate Profile
Education
- MSc, Engineering Degree, or equivalent qualification in Computer Science, Software Engineering, Bioinformatics, Data Engineering, or a related field.
Technical Skills
• Strong Python development skills.
• Experience building APIs using FastAPI, Flask, or similar frameworks.
• Experience with SQL, NoSQL, and vector databases.
• Experience with Docker/Singularity and containerized environments.
• Familiarity with Linux systems and software engineering best practices.
• Experience developing and operating production-quality software.
• Experience with monitoring, logging, tracing, and observability tools.
• Knowledge of MLOps practices, CI/CD, and AI deployment workflows.
Preferred Qualifications
• Experience operating machine learning or LLM-based systems in production.
• Experience with ML Observability and AI infrastructure.
• Familiarity with OpenTelemetry, or similar tools.
• Experience monitoring model performance, data quality, and drift.
• Experience implementing evaluation frameworks for LLMs, RAG systems, or AI agents.
• Experience with Kubernetes and cloud-native technologies.
• Experience working with biomedical, healthcare, or other regulated data environments.
Personal Skills
• Strong problem-solving abilities.
• Rigorous and quality-oriented mindset.
• Ability to work independently while collaborating within multidisciplinary teams.
• Strong communication skills.
• Interest in research and innovation.
Why Join Us ?
AGORA offers a unique opportunity to help shape the next generation of AI systems for oncology by working on real-world scientific and clinical challenges alongside leading researchers and physicians.
The project brings together several of the most exciting areas of modern artificial intelligence, including large language models (LLMs), multi-agent systems, knowledge graphs, multi-omics data integration, biological modelling, and clinical decision support.
Beyond technology development, the ambition is to explore how agentic AI can become a genuine scientific partner-capable of reasoning over complex biomedical data, integrating up-to-date medical knowledge, supporting molecular interpretation, and generating novel research hypotheses.
At the intersection of fundamental research, data science, systems biology, and precision medicine, Institut Curie provides a world-class research environment with access to unique clinical and molecular datasets. You will work within a highly interdisciplinary team and benefit from significant scientific freedom, opportunities for high-impact publications, international collaborations, and participation in the development of future national and European research initiatives.
Contract Information
Contract type: Fixed-term contract (CDD)
Starting date: As soon as possible
Duration: 18 months
Salary: According to experience and institutional salary scales
Benefits: Subsidized staff restaurant, public transportation reimbursement (70%), Private health insurance, Hybrid work opportunities
Location: Institut Curie, Paris, France
Application
Send CV, cover letter, referees
Institut Curie is an inclusive, equal opportunity employer and is dedicated to the highest standards of research integrity.
https://euraxess.ec.europa.eu/sites/default/files/brochures/eur_21620_e…
Diplôme et expérience professionnelle
Bac+6 et plus
Non discrimination, ouverture et transparence
Notre établissement, comme l'ensemble de l'Université PSL, s'engage à soutenir et promouvoir l'égalité, la diversité et l'inclusion au sein de ses communautés. Nous encourageons les candidatures issues de profils variés, que nous veillerons à sélectionner via un processus de recrutement ouvert et transparent.
Contact
h28jnhvrd35k@emploi.beetween.com
Autres informations
Type de contrat / de poste CDD
Durée du contrat 18 mois
Quotité de travail
Référence
h28jnhvrd3
Publié le 26/08/2026
Postuler
Exigences du poste
Stack technique :
PythonFastAPIFlaskSQLNoSQLVector DatabasesDockerSingularityLinux AdministrationMLOpsCI/CDOpenTelemetryKubernetesLLMRAGAgentic AI / Agents IAKnowledge GraphsMachine LearningAI DeploymentMonitoring / ObservabilityLoggingTracingGPU InfrastructureBioinformaticsMulti-Omics DataClinical DataHealth Data IntegrationData Governance
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