Senior AI / ML Engineer

About the role

We're hiring a Senior AI Engineer to design and own the data pipelines, platform services, and ML systems that our researchers, data scientists, and product teams depend on daily. You'll work across the full lifecycle, from ingestion through model deployment on systems that run at scale in production Kubernetes and Databricks environments.

What you'll do

• Build and operate ML-ready data systems
• Create the data preparation, feature generation, and training pipelines that AI researchers and ML engineers use to take models from experiment to production
• Own data versioning, validation, and reproducibility for ML workflows
• Deploy and support production AI/ML systems
• Build and maintain the pipelines that serve model training, testing, validation, deployment, and inference in production

What you need

• Machine learning
• SQL
• ETL
• Python
• Databricks
• Spark

Good to have

• MLOps
• LLMs
• Airflow
• CI/CD
• Terraform
• AWS