AI Engineer
Tasks
- Build deep learning models for pattern recognition and text classification
- Build semantic analysis pipelines for phishing detection
- Continuously improve detection algorithms against evolving threats
- Create AI safety frameworks for content moderation toxicity detection and anomaly detection
- Deploy scalable AI systems on AWS for real time inference
- Design and deploy LLM powered scam detection systems
- Develop prompt engineering strategies and guardrails
- Implement RAG systems with vector databases
- Monitor adversarial attacks and run red teaming exercises
Perks/Benefits
- Dedicated learning week
- Employee Share Savings Plan
- Hybrid work
- Learning and mentoring
- Paid volunteer day
- Personal coaching
- Remote work options
- Wellbeing support
Skills/Tech-stack
AI Safety | AWS | AWS Lambda | Adversarial AI | Amazon Bedrock | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Anomaly Detection | Behavioral Anomaly Detection | ChromaDB | Content Moderation | Deep learning | Haystack | Hugging Face | Hugging Face Transformers | Jailbreak detection | Kafka | LLM | Langchain | Language Processing | Llamaindex | LoRA | Machine Learning | Natural Language | Natural Language Processing | PEFT | Pinecone | Prompt engineering | Prompt injection | Prompt injection defense | PyTorch | Python | QLoRA | RLHF | Real Time | Real-time Inference | Retrieval-Augmented Generation | Semantic similarity | Sentence embeddings | TensorFlow | Toxicity detection | Transformers | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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