AI/ML Engineer
Tasks
- Build machine learning systems
- Build scalable data pipelines
- Collaborate with customers and stakeholders
- Define evaluation frameworks and metrics
- Define technical standards
- Deploy and monitor AI systems
- Design and deploy AI-powered applications
- Develop AI agents and retrieval systems
- Develop and productionize large language models
- Optimize model latency and efficiency
- Optimize model performance and reliability
- Test AI systems
- Translate research into production systems
Perks/Benefits
Skills/Tech-stack
AI Agents | Data Pipelines | Experimentation | JAX | Language Model | Large Language Model | Latency optimization | Machine Learning | Metrics | Model Evaluation | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Testing
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
Regions
Countries
States
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