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Gemmo AI builds machine learning and computer vision solutions for financial services, with a stack spanning PyTorch, ONNX, FastAPI, and cloud infrastructure (AWS, Azure, Snowflake). The company is actively hiring engineers across Ireland and Italy—including a Head of Engineering role—and tackling ML model integration, deployment, and cost optimization as core technical challenges. The mix of interns and senior engineers suggests a scaling engineering function building production infrastructure for model serving.
Tech Stack 17 technologies
Core StackPython TypeScript Rust PyTorch FastAPI Express.js PostgreSQL Apache Iceberg AWS Snowflake OpenAI Anthropic SQL ONNX Git XGBoost Azure
What Gemmo AI Is Building
◆Challenges
- Cost optimisation
- Integrating ml models into cloud environments
- Data governance constraints
- Technical debt reduction
▲Active Projects
- Ml model integration into cloud environments
- Crud api development for model serving
- Application deployment and monitoring in azure and snowflake
- Ai pathfinder project
- Ai for financial services
- Computer vision for pharma
- Multi-agent pipelines
- Llm-integrated products
- Financial services cloud architecture design
- Ai-driven platform infrastructure
Hiring Activity
7 roles · 4 in 30d
Department
Seniority
Notable leadership hires: Head of Engineering
Company intelligence
