Key skills
ETLJavaScriptPythonPyTorchReactSQLTensorflowTypeScriptAIMLTensorFlowData Engineering
About this role
Role Overview
- Design and maintain structured data pipelines for AI training and evaluation
- Develop and refine AI/ML models to support product and business needs
- Build complex, dynamic workflow-driven UIs using React
- Deploy and monitor AI models in production environments
- Collaborate with ML engineers on fine-tuning, RAG workflows, or evaluation systems
Requirements
- 3-13 years of experience in data engineering, applied ML, or AI systems
- Strong programming skills in Python
- Experience with modern ML frameworks (PyTorch, TensorFlow, etc.)
- Familiarity with SQL and ETL workflows
- Deep JavaScript / TypeScript expertise
- Strong React experience
- Strong understanding of REST APIs and backend integration
- Basic data analysis skills (SQL, metrics, quality analysis, productivity tracking)
Tech Stack
- ETL
- JavaScript
- Python
- PyTorch
- React
- SQL
- Tensorflow
- TypeScript
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities