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Senior Generative AI Engineer (Edge Deployment with C++)
Senior Generative AI Engineer (Edge Deployment with C++)BMW TechWorks India • Bengaluru, Karnataka, India
Senior Generative AI Engineer (Edge Deployment with C++)

Senior Generative AI Engineer (Edge Deployment with C++)

BMW TechWorks India • Bengaluru, Karnataka, India
25 days ago
Job description

About the Role : We are seeking a highly skilled and passionate Generative AI Engineer with strong expertise in generative models and a solid background in C for deploying and optimizing these models on edge this role you will be instrumental in bridging the gap between state-of-the-art generative AI research and real-world applications focusing on efficient low-latency inference on constrained hardware. If you are excited by the challenge of bringing complex AI models to life on the edge we encourage you to apply.

Key Responsibilities :

  • Design develop and implement generative AI models (Transformers for text / image / audio generation) from research prototypes to production-ready systems.
  • Optimize and deploy generative AI models on various edge devices (e.g. mobile IoT embedded systems specialized AI accelerators) using C and relevant optimization techniques.
  • Collaborate closely with research and Development Teams to identify evaluate and adapt novel generative AI architectures for edge deployment.
  • Implement efficient inference pipelines leveraging techniques such as model quantization pruning compilation and hardware-specific optimizations.
  • Develop and maintain robust C libraries and frameworks for model inference and integration on edge platforms.
  • Conduct performance profiling benchmarking and debugging of AI models on target hardware.
  • Contribute to the entire machine learning lifecycle from data preprocessing and model training to deployment and monitoring.
  • Stay up to date with the latest advancements in generative AI edge computing and C best practices.
  • Mentor junior engineers and contribute to a culture of technical excellence.

Key Skills and Qualifications :

Strong Generative AI Skills (Must-Have) :

  • Deep understanding of Generative AI architectures : Extensive experience with and theoretical knowledge of various generative models including :
  • Autoregressive models for sequence generation (e.g. GPT BERT T5)

  • Hands-on experience with popular deep learning frameworks : Proficiency in at least one of the following with a strong preference for PyTorch :
  • PyTorch

  • TensorFlow
  • Model Training and Evaluation : Proven ability to train fine-tune and evaluate generative models including understanding of metrics relevant to generative tasks (e.g. FID Inception Score perceptual metrics).
  • Data Generation and Manipulation : Experience with synthetic data generation data augmentation and managing large datasets for generative tasks.
  • Understanding of Latent Spaces : Strong intuition and practical experience working with and manipulating latent spaces.
  • C for Edge Deployment (Must-Have) :

  • Proficient C Programming : Excellent command of modern C (C11 / 14 / 17 / 20) with strong software engineering principles including memory management data structures and algorithms.
  • Edge AI Frameworks / Libraries : Experience with C-based inference engines and deployment tools for edge devices such as :
  • ONNX Runtime

  • TensorRT
  • OpenVINO
  • TFLite (C API)
  • Core ML (for iOS / macOS deployment)
  • Performance Optimization : Demonstrated experience in optimizing C code for performance including multi-threading SIMD instructions and understanding of cache coherence.
  • Embedded Systems / Hardware Interaction : Familiarity with the constraints and challenges of deploying on embedded systems including limited memory power and computational resources.
  • Good to have Skills :

  • Experience with specific AI accelerators (e.g. NVIDIA Jetson Google Coral Qualcomm AI Engine).
  • Knowledge of low-level hardware programming or system-on-chip (SoC) architectures.
  • Experience with real-time systems and low-latency applications.
  • Familiarity with MLOps practices for deploying and managing AI models in production.
  • Contributions to open-source generative AI projects or relevant C libraries.
  • Experience with other programming languages relevant to AI / ML (e.g. Python for prototyping).
  • Strong understanding of computer vision or natural language processing fundamentals.
  • Education & Experience :

  • Masters or Ph.D. in Computer Science Electronics Engineering or a related field with a specialization in Machine Learning Artificial Intelligence or Computer Vision with 5 years of experience
  • Alternatively Bachelors degree with 7 years of industry experience in a similar role focusing on Generative AI and C for edge deployment.
  • Required Experience :

    Manager

    Key Skills

    Jenkins,Python,Active Directory,VMware,Engineering,Tcp / IP,Deskstops,OS,Windows,Database,Linux,Java,Troubleshoot,Technical Support

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

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