Machine Learning Engineer
Tasks
- Advance ML for anti abuse and account security
- Architect agentic AI systems
- Build tools for model development debugging and explainability
- Collaborate with security analysts and engineering teams
- Design and deploy scalable ML systems
- Optimize ML workflows for distributed environments
Perks/Benefits
- Bike allowances
- Flexible working
- Food
- Generous leave
- Health coverage
- Parking support
- Retirement options
- Stock options
- Transport coverage
- Wellness support
Skills/Tech-stack
Adversarial Machine Learning | Agentic AI | Anomaly Detection | Automated retraining | Differential Privacy | Distributed Systems | Experimental Design | Federated Learning | Graph-Based Anomaly Detection | Graph-based | Hypothesis Testing | Knowledge graphs | LLMs | MLOps | Machine Learning | Model Monitoring | Privacy-Preserving AI | Privacy-preserving | Probability | Python | Real Time | Real-time Inference | Statistical Analysis
Education
Regions
Countries
States
Cities
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