Senior AI Engineer
Tasks
- Build integrate and maintain AI models in production systems
- Collaborate on deployment of AI services
- Design Agentic AI systems
- Develop implement and deploy AI solutions
- Evaluate AI model performance
- Identify AI use cases in business
- Integrate AI solutions into existing systems
- Monitor and optimize AI performance scalability and reliability
- Optimize performance and cost
- Train and coach junior members
Perks/Benefits
- Annual health check-up
- Annual leave
- Flexible working hours
- Healthcare insurance
- Training programs
- Work from home
Skills/Tech-stack
AI Evaluation | AWS ECS | AWS Lambda | AWS S3 | AWS SQS | AWS SageMaker | AWS Step Functions | Agent systems | Data Pipelines | Deep learning | Deployment | Event Driven | Event-driven architecture | FastAPI | Fine Tuning | Generative AI | Langchain | Machine Learning | Microservices | Multi-Agent | Multi-Agent Systems | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Step Functions | TensorFlow | Testing | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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