Consultant - AI Engineer
HKD 300K-300K (estimate) Mid-level Full Time
Tasks
- Benchmark LLMs for use-case fit
- Build LLM-powered applications
- Build and support PoCs
- Build autonomous agents
- Deploy GenAI models on AWS
- Deploy GenAI models on Azure
- Deploy GenAI models on GCP
- Design prompt templates
- Detect model drift
- Develop multimodal AI solutions
- Document AI frameworks best practices
- Enforce security and compliance
- Evaluate fine-tuning strategies
- Implement rag pipelines
- Integrate AI into microservices and APIs
- Manage MLOps CI CD pipelines
- Provide performance observability
- Schedule model retraining
- Set up canary releases
- Tune prompt flows for reliability
Perks/Benefits
Skills/Tech-stack
AI Foundry | AWS Bedrock | AWS SageMaker | Anthropic API | Azure AI | Azure AI Foundry | CI/CD | Canary Releases | ChromaDB | Cloud platform | Drift Detection | Embeddings | Faiss | FastAPI | Fine Tuning | Flask | GDPR | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Hugging Face | Langchain | Llamaindex | LoRA | MLOps | Microsoft Azure | Milvus | Model Drift | Model Drift Detection | OpenAI API | PEFT | PGVector | Pinecone | Prompt engineering | PyTorch | Python | Qdrant | RAG | RLHF | Responsible AI | Retraining | Transformer | Vector Database | Vertex AI | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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