AI Engineer

Job Title: AI Engineer Company: Edgecore Networks Location: North Bangalore Cluster (Near Hebbal) Required Experience: 5 to 10 Years Summary: We are looking for dynamic and skilled AI Engineers to design, develop, and deploy advanced AI/ML solutions for real-world applications. The role involves working on cutting-edge technologies including large language models, computer vision, and embedded AI systems, with a strong focus on optimization and deployment on edge devices. Key Responsibilities: Design, develop, and train custom AI models such as LLMs, diAusion models, and vision transformers for specific use cases. Perform model fine-tuning, quantization, distillation, and optimization using techniques like LoRA, QLoRA, and PEFT. Conduct hyperparameter tuning, ablation studies, and benchmarking to improve model performance. Build and manage large-scale data pipelines, including synthetic data generation, data augmentation, and data cleaning. Port, deploy, and optimize AI models on embedded hardware using frameworks such as TensorRT, NCNN, TFLite, and Edge TPU. Develop end-to-end AI pipelines on embedded Linux platforms (Qualcomm Linux, Yocto, OpenWRT, or custom NOS). Implement inference acceleration, memory optimization, and power-eAicient AI solutions. Integrate AI models with hardware components such as sensors, cameras, actuators, and communication protocols (CAN, Modbus, MQTT, ROS2). Perform hardware-in-the-loop testing, debugging, and performance profiling. Required Skills & Qualifications: Strong experience in AI/ML model development and deployment Hands-on experience with deep learning frameworks (PyTorch, TensorFlow, etc.) Knowledge of embedded systems and edge AI deployment  Experience with model optimization techniques and performance tuning Familiarity with Linux-based systems and hardware integration Strong analytical and problem-solving skills Contact Details: Email: [HIDDEN TEXT] Email: [HIDDEN TEXT]