AI / ML Engineer
quest
Job Description
- Design, train, and optimize AI/ML models for real-time, edge-based deployment.
- Design, implement, and optimize Retrieval-Augmented Generation (RAG) workflows and fine-tune large language models (LLMs) to build scalable, secure, and production-ready enterprise GenAI applications.
- Work with multi-modal data sources (audio, vision, sensor, telematics) to build robust AI systems.
- Develop end-to-end pipelines for data preprocessing, model training, evaluation, and deployment.
- Implement algorithms optimized for embedded and resource-constrained platforms
- Validate AI models with real-world automotive datasets.
- Perform model optimization (quantization, pruning) for deployment on embedded SoCs
- Collaborate with system architects, Application developers, and automotive domain experts to ensure end-to-end functionality
- Stay up to date with AI/ML advancements and automotive industry trends.