Machine Learning & Data Systems Engineer, Inarix

• 5+ years of experience as a Data Engineer / ML Engineer / System Engineer or similar position
• Proven expertise in Python for production-grade systems
• Working experience with SQL
• Working experience with any cloud platform (AWS, GCP, or Azure)
• English (good written and spoken English)
• Autonomous, Proactive, Team-player, Good communication
• Education Level: Master's Degree

Desirable

• As a Data & ML systems engineer, you will be in charge of the heart of Inarix: making our models train and run in a heartbeat and our data flowing everywhere
• You'll quickly become a key contributor to our ML and data platforms which is used both by our customers and by our research and development team
• This means improving constantly the current platform as well as expanding it with the latest technologies, by benchmarking, prototyping, and shipping new bricks in production
• The ML platform is based on a mixture of Kubeflow (for training orchestration, collaborative notebooks etc.) and a custom inference engine built around NVIDIA Triton
• The Data platform is currently based on a combination of Python, PostgreSQL, dbt, Dagster, and cloud services (AWS & GCP)
• You'll have the opportunity to expand and transform these services to support our ambitious growth plan
• You'll play a crucial role in the tools and processes that allow us to:
• Collect large datasets continuously from various sources, filter, sort, process, store, and redirect data into our training pipelines, R&D experiments, and analytics solutions. Importantly, we expect to leverage AI-agent pipelines to ingest messy data locked in documents and images
• Support data access to our R&D team by contributing to our ETL processes (APIs, dbt, PostgreSQL) and our core data-access library in python: pnx
• Expand our data monitoring and data-quality control using pipelines, models, dashboards, alerts, tracing products, etc
• Efficiently train new model, evaluate them, release them
• Serve frequently updated models with reliability and efficiency for all our customers and for internal needs
• You'll be managed by our Head of Software and will work in very close relationship with our Head of Data Science
• As you have now understood, this job is as challenging as it can be rewarding. We don't expect you to know everything already and as Inarix evolves, the position will too. You'll have the opportunity to learn a lot and teach us a lot too
• More importantly, we expect you to rapidly own large portions of these crucial systems, therefore being responsible for central parts of our production systems
• Own our data ingestion, transformation, and access layers systems
• Own critical parts of our ML production systems (inference engine, training pipelines, model inference on-edge etc.)
• Own our data platform capability (data warehousing, lineage, monitoring) interacting with our R&D team to continuously improve it
• Contribute to data modeling for new projects & products
• Contribute to our in-house core python librairies (pnx, science, loki)
• About the stack:
• Python, PostgreSQL, SQL, dbt, Dagster, count.co, Docker, Kubeflow, PyTorch, Triton, numpy, Google Pub/Sub, Redis, Google FileStore, Google BigQuery, AWS S3, GCP GS, Kubernetes, ArgoCD, Newrelic, AzureDevOps, Slack, PyTest
• Start Date: 05 January 2026

• 1h with Hiring Manager
• 30 min with HR
• 30 min with Head of Data Science
• 30 min with CTO
• 2h Technical interview