Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit
USD 185K-200K (estimate) Senior-level Full Time
Tasks
- Adapt models on device through fine tuning and distillation
- Build data pipelines telemetry and feedback loops
- Define end to end architecture for smart cockpit systems
- Design hybrid edge cloud architectures
- Drive technical program execution across architecture and integration
- Establish AI evaluation and observability framework
- Integrate multimodal AI with real time safety constraints
- Lead AI ML pipeline development and deployment
- Optimize and deploy models for edge execution
- Orchestrate multi model and LLM workflows
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Cloud Architecture | Cloud Orchestration | Deep learning | Device Machine Learning | Edge AI | Edge Cloud | Edge Cloud Orchestration | Embedded Systems | Fine Tuning | Fleet Telemetry | GPU | Generative AI | LLM orchestration | Language Models | Large Language Models | Latency optimization | Lifecycle Management | Machine Learning | Model Deployment | Model Distillation | Model Lifecycle | Model Lifecycle Management | Model Pruning | Model Quantization | Multimodal AI | NPU | OTA Updates | On-device Machine Learning | Python | Quantization | Real Time | Real-time Systems | Sensor fusion | Speech Recognition | Telemetry pipelines | Text to Speech | Time Systems
Education
Roles
AI | AI Architect | Architect | Artificial Intelligence Engineer | Engineer | Intelligence Engineer | Learning Architect | Learning Engineer | Machine Learning Architect | Machine Learning Engineer | Principal | Principal Artificial Intelligence Engineer | Principal Machine Learning | Principal Machine Learning Engineer
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