AI Engineer
Tasks
- Build AI development infrastructure
- Build AI production infrastructure
- Conduct machine learning experiments
- Curate datasets
- Deploy machine learning models
- Estimate impact of machine learning solutions
- Implement data quality validation frameworks
- Integrate data science tools into products
- Monitor machine learning model performance
- Productize machine learning solutions
Perks/Benefits
- Annual leave
- Contributory pension
- Flexible benefits
- Flexible working hours
- Group income protection
- High-performance laptop
- Life assurance
- Mobile phone for business use
- Private Medical Health Cover
- Remote work
Skills/Tech-stack
.NET | A/B | A/B Testing | Async Python | Azure | Azure DevOps | B testing | C Sharp | CI/CD | Cloud Computing | Cohere | Cost Optimization | Data Quality | Data Quality Validation | Data Versioning | Docker | ETL | Embedding Models | Fine Tuning | Git | Hugging Face | Hugging Face Transformers | LLM Fine-tuning | Langchain | Language Processing | Machine Learning | Model Deployment | Model Monitoring | Model Optimization | Model Quantization | Model cost | Model cost optimization | NLP | Natural Language | Natural Language Processing | ONNX | ONNX Runtime | OpenAI | PGVector | Pinecone | PostgreSQL | Prompt engineering | PyTorch | Pydantic | Python | Quality validation | Query Optimization | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | Sentence Transformers | Spacy | TensorFlow | TensorRT | Type Hints | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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