Développeur(euse) principal(e) en IA - Python, Spark
Core
Senior Principal AI Engineer enabling data scientists to develop and deploy ML models in production using Python/PySpark, Databricks, and Kafka without code rewriting.
Role type
Senior Principal IC Machine Learning Engineer (MLOps & Infrastructure)
Builds
Production ML models, real-time data pipelines, and event-driven architectures for insurance/financial services
Domain
Insurance / Financial Services / Data Engineering / MLOps
Deliverable
production ML models
Required skills
Python, PySpark, Databricks (Unity Catalog, Delta Lake), AWS (S3, IAM, ECS/EKS, ALB), Kafka, MLOps (MLflow, GitLab CI/CD, Docker, Terraform), Java/Spring Boot
Preferred skills
Experience with GPS, accelerometer, and Mapbox data streams
Technologies
Databricks, AWS, Kafka, MLflow, GitLab, Docker, Terraform, Dynatrace, Spring Boot, Vue, Mapbox
Responsibilities
Enable data scientists to deploy models to batch and real-time streams without rewriting code; Transform architectural ideas into sprint tasks; Write code, participate in code reviews, and migrate services to event-driven architectures; Improve MLOps practices including model versioning, secure deployments, and model drift monitoring; Advise the data science team on algorithm evaluation and data streams; Collaborate with engineers to provide code/design feedback and foster continuous improvement culture.
Seniority
Principal, hands-on IC with mentorship