Staff/Sr. Staff AI Engineer - Enterprise AI Solutions
Tasks
- Apply AI and ML techniques to improve solutions
- Collaborate with data scientists ML engineers product managers and IT stakeholders
- Deploy generative AI and LLM systems
- Design AI solutions
- Develop enterprise AI and ML platform components
- Enforce AI design standards and best practices
- Ensure responsible AI compliance and security
- Evaluate and integrate AI tools frameworks and cloud solutions
- Implement AI solutions
- Implement automated testing and monitoring
- Implement model deployment and real time inference
- Lead proof of concept for emerging AI innovations
- Mentor AI and ML engineers
- Optimize large scale AI and ML systems
- Perform code reviews
- Perform system performance tuning for low latency and high throughput
- Select models and manage data requirements
Perks/Benefits
Skills/Tech-stack
AI Model Deployment | AI model | Automated testing | C++ | Cloud Platforms | Data Engineering | Deep learning | Distributed Systems | Generative AI | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | PyTorch | Python | Real Time | Real-time Inference | Responsible AI | Scikit-learn | Security | Statistical modeling | Streaming Data | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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