Senior AI/ML Engineer
Tasks
- Build and optimize ML model architectures
- Build automated testing frameworks
- Collaborate with OT detection experts
- Deploy ML models in high reliability environments
- Deploy containerized ML applications
- Design production machine learning systems
- Develop ML data pipelines
- Establish data contracts
- Evaluate and adapt ML research models
- Implement ML observability
- Improve ML infrastructure
- Integrate ML workflows with data infrastructure
- Monitor version deploy ML pipelines
- Optimize latency accuracy resource utilization
- Set up CI/CD pipelines
- Troubleshoot ML model performance
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Cloud Native | Cloud Native Architecture | Containerization | Containerized Deployment | Continuous Deployment | Continuous integration | Cybersecurity | Data Pipelines | Docker | Go | Huggingface | Java | Kubernetes | LLM | Language Processing | MLOps | Machine Learning | Message queuing | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Pipeline Orchestration | PyTorch | Python | Retrieval-Augmented Generation | Rust | SQL | Scikit-learn | Series analysis | Stream processing | TensorFlow | Time Series | Time Series Analysis
Education
N/A
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