Principal AI Engineer
Tasks
- Collaborate on reusable accelerators and reference architectures
- Deploy and monitor production AI systems
- Design and ship end to end AI solutions
- Ensure ML lifecycle best practices
- Guide ML model and GenAI system design
- Lead end-to-end AI/ML delivery
- Manage technical delivery risks and dependencies
- Oversee predictive ML and GenAI implementation
- Own delivery execution across AI workstreams
- Translate business problems into AI solutions
Perks/Benefits
Skills/Tech-stack
API Development | Agentic Workflows | Backend Services | CI/CD | Classification | Cloud Computing | Clustering | Data Preparation | Debugging | Deployment | Feature Engineering | Generative AI | Governance | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Machine Learning Interpretability | Model Development | Model Evaluation | Monitoring | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | System design | Testing | Time Series | Training | Version control
Education
N/A
Regions
Countries
States
Cities
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