LUMINESS

About the Company

Luminess Beauty by Luminess is an exclusive opportunity for anyone to find confidence and financial independence through selling their favorite beauty products by Luminess. Every individual, their friends and their family, has the opportunity to host their own Party, experience the world's leading airbrush makeup, and be part of a tight-knit community of makeup lovers, creators and innovators. We are seeking Beauty Consultants across the United States and we would love for you to help spread the word.

Listed Jobs

Company Name

LUMINESS

Job Title

Machine Learning F/H

Job Description

**Job Title:** Machine Learning Engineer (F/M) **Role Summary:** Design, develop, and deploy high‑impact AI solutions across the full project lifecycle. Collaborate with data scientists, data engineers, and product owners to transform use cases into production‑ready models, integrate autonomous AI agents, and drive MLOps best practices. **Expectations:** - Minimum 3 years experience building and operationalizing ML/DL models. - Strong analytical mindset, curiosity, rigor, creativity, and ability to communicate AI concepts to technical and non‑technical audiences. - Proven track record of delivering scalable, production‑grade AI systems. **Key Responsibilities:** - Partner with cross‑functional teams to translate business problems into AI solutions. - Develop robust ML/DL models (e.g., classification, regression, computer vision, NLP). - Implement AI‑agentic approaches for autonomous, adaptive systems. - Industrialize AI pipelines using MLOps: packaging, CI/CD, monitoring, and version control. - Optimize model performance and ensure scalability in production environments. - Provide training and knowledge transfer on AI tools and concepts to internal teams and clients. - Contribute to technical research, continuous improvement, and documentation of best practices. **Required Skills:** - Proficiency with ML/DL frameworks: scikit‑learn, PyTorch, TensorFlow. - Software engineering best practices: unit testing, CI/CD, version control (Git). - Model deployment expertise: REST APIs, Docker, Kubernetes orchestration. - MLOps tools knowledge: MLflow, DVC, or equivalent. - Experience handling structured and unstructured data (text, images, etc.). - Interest and ability to integrate agentic AI techniques. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Data Science, or a related field with a specialization in Machine Learning Engineering. - Relevant certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning – Specialty) are a plus.

Rennes, France

Hybrid

14-10-2025

Company Name

LUMINESS

Job Title

Ingenieur DevOps F/H

Job Description

**Job Title** DevOps Engineer (F/M) **Role Summary** Design, deploy, and maintain container‑based infrastructure (Docker/Kubernetes) across multi‑cloud and on‑prem environments. Lead technical decisions, promote DevOps best practices, and support end‑to‑end project delivery from inception to production. **Expectations** - Minimum 3 years of experience building and operating containerised IT infrastructures. - Strong analytical and synthesis skills with the ability to influence cross‑functional teams. - Prioritisation, multi‑project management, and business‑impact awareness. - Willingness to travel for on‑site support and client engagements. **Key Responsibilities** - Guide technical choices for container solutions and oversee deployment across teams (Dev, Ops, Security, Infra, Networks, Architecture). - Champion DevOps practices, acting as the subject‑matter expert for adoption. - Provide technical support throughout project lifecycle, from launch to operation. - Contribute to pre‑sales technical responses and client demonstrations. - Maintain and evolve internal software factory, ensuring scalability and reliability. - Identify risks, resolve issues, and propose sustainable solutions. - Stay current with emerging technologies through continuous learning and knowledge sharing. **Required Skills** - Proficient with Kubernetes, Docker, ArgoCD. - Experience with Linux distributions (Ubuntu, Red Hat). - Familiarity with IaaS, Nutanix, OpenStack, and hybrid cloud environments. - Knowledge of micro‑segmentation, shared storage (NAS, SAN, NFS, CIFS). - Competency in observability tools: Prometheus, Grafana, ELK, Centreon. - Ability to integrate security, cost, and scheduling considerations into decisions. - Strong communication and stakeholder engagement abilities. **Required Education & Certifications** - Master’s degree or equivalent engineering school (Bac+5). - 3+ years of relevant DevOps/Infrastructure experience. - Certifications such as Certified Kubernetes Administrator (CKA) or equivalent are advantageous.

Rennes, France

Hybrid

14-10-2025