AI Engineering, Vice President
Tasks
- Apply AI techniques
- Automate tasks using AI agents
- Collaborate with teams
- Design AI architectures
- Develop ML pipelines
- Develop NLP systems
- Drive technical excellence
- Implement MLOps practices
- Partner with research teams
- Provide technical guidance
Perks/Benefits
- Career development
- Employee benefits
- Flexible work arrangements
- Inclusive environment
- Learning opportunities
Skills/Tech-stack
AI | Azure | Beam | Cloud Platforms | Cloud platforms GCP | Computer Vision | Data Engineering | Data analytics | Deep learning | Docker | Financial Data | Flink | Kafka | Kubernetes | Language Processing | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model retraining | Natural Language | Natural Language Processing | PyTorch | Quantitative analytics | Ray | Risk Modeling | Series analysis | Spark | TensorFlow | Time Series | Time Series Analysis
Education
Roles
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