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    Job · 13450563

    Edgecore Networks Corporation logo

    AI Engineer

    Edgecore Networks Corporation · Bengaluru · onsite · Posted 59d ago

    Not disclosed5–10 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    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]

    Sourced from foundit

    Skills

    AI ML model development and deploymentEdge TPUNCNNQualcomm Linuxembedded AI systemsModbusOpenwrtPerformance TuningComputer Visiondeep learning frameworksmqttTensorRTYoctoLoraROS2Large Language Models (LLMs)qloraHardware IntegrationCanEmbedded SystemsPytorchTensorflowTFLiteLinux-based systemsEdge AI deploymentmodel optimization techniquesPEFT

    AI Engineer · waiting for your command