AI Engineer II
Tasks
- Build AI APIs platforms and services
- Deploy and fine-tune deep learning models
- Deploy and monitor production AI models
- Design data pipelines and feedback loops
- Design global scalable infrastructure
- Develop generative AI and LLM based features
- Ensure Azure integration security scalability and compliance
- Implement automatic retraining pipelines
- Mentor engineers and share knowledge
- Monitor AI drift hallucinations safety and cost
- Orchestrate prompts and tools
- Ship AI features
- Translate product requirements into ML problems
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Automation | Azure | C# | C++ | Compliance | Cosmos DB | Data Pipelines | Deep learning | Distributed Storage | Distributed Systems | Embeddings | Fault-tolerant | Fault-tolerant systems | Feedback loops | Generative AI | Hugging Face | Java | JavaScript | LLM | Machine Learning | Microservices | Model Monitoring | Prompt engineering | PyTorch | Python | Scalability | Security | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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