Generative AI Annotation Operations Engineer
Sustainable TalentSalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, ConsultingIndustries
Requirements
- Excellente maîtrise du développement Python
- Bonne connaissance des outils de déploiement (Docker, Kubernetes)
- Expérience dans le développement et la maintenance d’architectures agentiques ou de plateformes d’IA Générative
- Maîtrise des pratiques MLOps / LLMOps
- Compétences en automatisation et CI/CD
- Connaissance des environnements Cloud (GCP, AWS ou Azure)
Responsibilities
- Développer, déployer et maintenir des modèles d’IA Générative en production
- Concevoir et améliorer des architectures agentiques (multi-agents, orchestration, outils contextuels, etc.)
- Industrialiser les pipelines de données et de modèles via des pratiques MLOps / LLMOps
- Utiliser les outils de déploiement et conteneurisation (Docker, Kubernetes)
- Compétences en automatisation et en intégration continue (CI/CD)
- Optimiser les performances, la sécurité et les coûts des déploiements sur GCP / AWS / Azure
- Participer à la conception, l’industrialisation et l’optimisation de solutions logicielles exploitant l’IA Générative
- Responsable du déploiement, de la surveillance et de la performance des modèles et architectures agentiques en production
- Faire passer les prototypes d’IA au stade de solutions robustes, maintenables et scalables
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the employment type for this position?
This is a CDI (permanent contract) position.
Is this role remote or does it require working from an office?
This information is not specified in the job description.
What key skills are required for the AI Engineer role?
Excellent mastery of Python development is required, along with skills in deploying and maintaining generative AI models, designing agentic architectures, MLOps/LLMOps, Docker/Kubernetes, CI/CD, and optimizing deployments on GCP/AWS/Azure.
What is the company culture like at SFEIR Nantes?
SFEIR Nantes features 60 consultants united by passion and conviviality, a human-scale model where managers are also developers, opportunities for everyone to express themselves and grow the community, and encouragement for training, certifications, and sharing knowledge through events.
What makes a strong candidate for this AI Engineer position?
A strong candidate has excellent Python development skills and experience in developing, deploying, and optimizing generative AI models, agentic architectures, MLOps/LLMOps, containerization with Docker/Kubernetes, CI/CD, and cloud platforms like GCP/AWS/Azure.
SFEIR
Digital strategy and technology consulting firm
About SFEIR
SFEIR helps businesses with their digital transformation by providing specialized consulting services in technology. The company focuses on developing both front-end and back-end applications, offering cloud solutions, and implementing Site Reliability Engineering (SRE), data management, and machine learning. SFEIR operates as a Google Cloud Partner of the Year, which showcases its expertise in cloud services. Unlike many competitors, SFEIR emphasizes a community of developers who engage in continuous learning and knowledge sharing. The company also runs the SFEIR Institute, which offers tailored training programs to ensure clients' teams are proficient in the latest digital tools. The main goal of SFEIR is to make technology easy to use and beneficial for businesses, helping them modernize their operations and achieve their digital transformation objectives.
Neuilly-sur-Seine, FranceHeadquarters
1985Year Founded
ACQUISITIONCompany Stage
Data & Analytics, Consulting, AI & Machine LearningIndustries
501-1,000Employees
Risks
Emerging tech firms in France offer similar services at lower costs.
Rapid cloud tech evolution may outpace SFEIR's current training programs.
Shift in Google's partnership policies could affect SFEIR's credibility.
Differentiation
SFEIR is a Google Cloud Partner of the Year, showcasing cloud expertise.
Founded in 1989, SFEIR has decades of experience in digital transformation.
SFEIR Institute offers specialized training, enhancing client teams' tech skills.
Upsides
Growing demand for cloud-native applications aligns with SFEIR's cloud solutions expertise.
Interest in SRE practices offers expansion opportunities for SFEIR's consulting services.
Focus on upskilling boosts demand for SFEIR Institute's training programs.
Related Jobs
RemoteRemoteAI/ML Engineer
BambooHRSalary not specified
- Full Time
- Mid-level (3 to 4 years)
RemoteMachine Learning Engineer
SweedSalary not specified
- Full Time
- Mid-level (3 to 4 years)
RemoteAI Platform Engineer
0x LabsSalary not specified
RemoteSenior MLOps Engineer
TRM LabsSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteLLM Platform Engineer
WhatNotSalary not specified
RemoteAI Solutions Engineer
Arize AISalary not specified
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
RemoteApplied AI Engineer
CherreSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)