Das ist der Job
You’ll be building AI models that make human-like conversations possible.
Darum lohnt es sich
Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability. You’ll work at the intersection of speech, language, and intelligence, taking cutting‑edge research and transforming it into real‑time, scalable systems that power our core products.
You’ll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you’ll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.
Bewerber sollten sich die Zeit nehmen, alle Elemente dieser Stellenanzeige sorgfältig zu lesen Bitte bewerben Sie sich umgehend. Responsibility’s
Design, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deployment.
Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility. Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.
Ensure data quality, observability, and performance across all AI systems. Stay current with the latest in AI infrastructure, tooling, and resea
