Senior AI Engineer (Research)
Ho Chi Minh, Hồ Chí Minh, Vietnam
A USD 152K-230K (estimate) Senior-level Full Time
Tasks
- Build and maintain AIOps practices and incident response
- Build prompt engineering frameworks and prompt management
- Debug and troubleshoot production AI systems
- Design build and deploy production AI ML systems
- Develop graph analysis solutions for banking fraud detection
- Evaluate and prototype emerging AI architectures
- Implement and maintain MLOps pipelines
- Implement data pipelines for training and inference
- Monitor model performance and implement drift detection and retraining
- Optimize model serving infrastructure for latency throughput and cost
Perks/Benefits
- Annual leave
- Career development opportunities
- Health insurance
- Internal hackathons
- Meal allowance
- Overseas travel opportunities
- Parking allowance
- Sick leave
- Work-life balance
Skills/Tech-stack
A2A protocol | AIOps | AWS | AWS CodePipeline | AWS Glue | AWS Lambda | AWS Neptune | AWS Step Functions | Agentic AI | Airflow | Amazon Bedrock | Amazon ECS | Amazon EKS | Amazon Kinesis | Amazon SageMaker | Attention Mechanisms | Automated retraining | CI/CD | Cost Optimization | Data Pipelines | Debugging | Distributed Training | Docker | Drift Detection | Fraud Detection | GPU Optimization | Gemini API | Git | Graph Algorithms | Graph Databases | Inference Optimization | Language Models | Large Language Models | Latency optimization | Long Term Short Term Memory | MLOps | MLflow | Model Context Protocol | Model Serving | Model serving optimization | Model versioning | Monitoring | Multimodal Learning | OpenAI API | Prompt engineering | Prompt management | PyTorch | Python | RAG | Retrieval-Augmented Generation | Step Functions | TensorFlow | Test Time Compute Scaling | Test-time compute | Throughput Optimization | Transformer Architectures | Vision Language Models | Vision-language | Weights and Biases
Education
Roles
Regions
Countries
States
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