Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKafkaKubernetesPythonPyTorchScikit-LearnSparkSwiftTensorflow
About the role
- Mission: AI Revolution — make advanced AI accessible and integrated into workflows.
- Model Development: Build and deploy AI models with RAG and tool calling for product features (AI accounting, onboarding, customer care, document recognition, categorization, fraud detection).
- Quality: Define measurement signals and improve models.
- Integration with Product: Collaborate with frontend/backend engineers to bring AI features into production.
- Innovation: Keep updated with AI research and propose applications.
Requirements
- Seasoned Python professional with a passion for AI/ML. Experience with LangGraph, PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers.
- Deployment experience deploying ML models to production.
- Strong software engineering skills: data structures, algorithms, best practices.
- Cloud experience: AWS Bedrock, GCP Vertex, or Azure; Docker and Kubernetes.
- Problem-solving, collaboration, growth mindset, fluent English (B2+).