Sr. AI/ML Engineer
Tasks
- Build and fine tune anomaly detection models
- Build and fine tune behavioral modeling models
- Build and fine tune threat detection models
- Deploy models in scalable low-latency environments
- Develop RAG pipelines
- Generate embeddings for retrieval
- Implement and optimize LLM-powered agents
- Improve model performance, robustness, and explainability
- Inject context into prompts
- Perform vector search
- Train and evaluate models on historical security data
- Train and evaluate models on streaming security data
Perks/Benefits
Skills/Tech-stack
Adversarial Machine Learning | Anomaly Detection | Classification | Clustering | Docker | Embeddings | Explainable AI | Kubernetes | LLM Agents | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Serving | Natural Language | Natural Language Processing | PyTorch | Python | RAG | Semi-Supervised Learning | Semi-supervised | Series analysis | Supervised Learning | TensorFlow | Time Series | Time Series Analysis | Unsupervised Learning | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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