Related skills
python tensorflow pytorch data pipelines scikit-learnπ Description
- Designing AI systems; analyze problems and apply ML
- Machine learning development; deploy ML applications
- Productionise AI; build end-to-end agentic solutions
- Model evaluation and selection; consider wider impacts
- Data management; build and maintain data pipelines
- Collaboration; cross-functional teams with data engineers, analysts, and devs
π― Requirements
- 1-3 years of experience developing and deploying AI/ML solutions
- Experience with LLMs (RAG, Chaining, MCP)
- Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow, spaCy)
- Knowledge of traditional ML techniques (linear/logistic regression, randomForest, GBM)
- Familiarity with ML development lifecycles
- Bachelor's degree in CS/AI/Statistics or equivalent; Masters or PhD advantageous
π Benefits
- Global experience across USA, Australia, New Zealand, UK, Canada, and the Philippines
- 4 weeks annual leave plus 5 Karbon Days off per year
- Flexible working environment
- Work with a high-performing team
- Fast-growing company with internal promotions
- Collaborative culture with diversity and development
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