Senior AI/ML Ops Engineer

About the Position

Senior AI/ML Ops Engineer

Join our Data Enlightenment team as a Senior AI/ML Ops Engineer to build and evolve our AI/ML platform, ensuring scalable and reliable deployment of machine learning solutions.

Responsibilities

• Build and maintain production-grade AI/ML pipelines, including CI/CD processes for training, validating, deploying, monitoring, and retraining models
• Transition ML and GenAI prototypes into scalable and reliable production systems
• Optimize and monitor AI/ML systems for performance, reliability, cost-efficiency, and traceability
• Define and implement MLOps best practices such as model lifecycle management, data lineage, versioning, automated testing, governance, and alerting
• Design and deploy pipelines for real-time inference, batch processing, and automated retraining
• Implement monitoring systems to detect model drift and performance issues
• Integrate advanced AI/ML capabilities, including vector search, embeddings-based similarity services, and LLM-based applications
• Collaborate with product, engineering, and data teams to align ML infrastructure with technical and business goals
• Contribute to the evolution of the AI/ML platform, including model registries and orchestration tools
• Build dashboards to track platform efficiency and ensure cost-effective operations
• Advocate for and implement Python development standards and reusable ML pipelines across teams
• Develop and maintain internal Python libraries to streamline workflows

Requirements

• 6+ years of experience in ML Engineering, MLOps or DevOps for AI/ML systems (or 3+ years with a PhD)
• Expertise in MLOps principles and tools (testing, deployment, monitoring, versioning)
• Proven experience building production-grade ML systems in Python
• Hands-on experience with cloud platforms (AWS preferred) and container orchestration (Docker, Kubernetes)
• Experience with ML platforms such as MLflow, SageMaker, Vertex AI or similar
• Strong understanding of the complete ML lifecycle, including training, validation, retraining, A/B testing, and drift detection
• Experience with CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins) and Infrastructure as Code (Terraform, CloudFormation)
• Proficiency in Python and experience with scalable data processing frameworks (Spark, Airflow, Kubeflow)
• Familiarity with monitoring/logging tools like Prometheus, Grafana, and Datadog
• Professional English proficiency
• Ability to work from Paris, Milan, Turin, Barcelona or remotely within a compatible time zone

Nice to Have

• Experience deploying or scaling GenAI solutions
• Contributions to shared internal libraries or developer tools
• Additional language skills (French, Spanish, Italian)
• Familiarity with large-scale distributed systems or marketplace environments

We Offer

• Dynamic, entrepreneurial corporate environment
• Diverse multicultural, multi-functional, and multilingual work environment
• Opportunities for personal and career growth in a progressive industry
• Global scope, international projects
• Widespread training and development opportunities
• Access to LinkedIn Learning solutions
• Competitive salary and various benefits
• Advanced wellbeing and CSR programs, recreation area

About the Company

Join our Data Enlightenment team to build a strong data and AI foundation that enables innovative, ML-driven capabilities across both B2C (app/website) and B2B (management tools) product lines. Work on a project that is transforming digital experiences on a global scale. Combine AI/ML innovation with real product impact. Collaborate with a diverse and expert team across data, engineering, and product. Shape the long-term vision and architecture of the AI/ML platform.