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# Data Engineer

- **Company:** Mirakl
- **Location:** Paris, France
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Apache HTTP Server, Computer Vision, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Azure Machine Learning, Software Engineering, SQL Databases, AI Infrastructure, Cloud Platform System, Pytorch, Transfer Learning, Large Language Models, Apache Spark, Technical Debt, Data Lakes, Kubernetes, Apache Kafka, Machine Learning Operations, VLLM, Terraform, Docker, KServe, Databricks
- **Published:** November 14, 2026
- **Apply:** https://www.welcometothejungle.com/en/companies/mirakl/jobs/data-engineer_paris

## About the Role

* 2+ years of experience in a Machine Learning and/or Data engineering environment
 * Proven track record of shipping ML applications at scale (NLP, image processing, or classical ML) in high-volume, production-grade systems
 * Background in software development with a strong appetite for data science and machine learning

Skills:

 * Proficiency in Python and the Kubernetes/Docker ecosystem
 * Solid experience with cloud environments (AWS primarily) and Apache ecosystem frameworks
 * Hands-on knowledge of an orchestration tool (Airflow, Prefect, or equivalent)
 * Familiarity with CI/CD practices and MLOps principles (monitoring, model lifecycle, reproducibility)
 * Strong communicator with a knack for mentoring and presenting technical work to diverse audiences

4. Tech Stack

Experience with: Python, Databricks, AWS, Kafka, Airflow, Prefect, MLflow, TensorFlow, Triton, PyTorch, vLLM, KServe, Delta Lake, Kubernetes, SQL, Terraform, Apache Spark

5. Languages

 * French: Fluent (C2 level required)
 * English: Fluent (B2/C1 level required)

## Description

* Design and implement a performant, robust, and scalable ML Platform architecture - covering training, evaluation, and inference - while keeping costs under control
 * Maintain and improve ML production pipelines and real-time inference applications at scale (real-time recommendation inference, 1M+ LLM calls/week, async content moderation)
 * Partner with Data Scientists from project kickoff through productionization - setting up best practices, guardrails, and CI/CD improvements in collaboration with the SRE team
 * Drive technical excellence: manage technical debt, systematize version upgrade processes, and upskill team members on MLOps and Data Engineering topics
 * Contribute to cutting-edge AI projects - including LoRA adapter creation for open-source LLM fine-tuning, in-house computer vision models, and large-scale product data transformation - and share findings across Labs teams, * A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
 * An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
 * 1 hour discussion with your futur manager
 * 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

Want to learn more about how we build our AI infrastructure? Read our latest article: Open source at the core, proprietary where it counts: Mirakl's AI inference platform - by Jeanine Harb, Antoine Bourgault and Maxime Roodnejad, Senior Data Engineers at Mirakl.