Description :

Position Overview :

We are seeking a skilled and experienced AI Engineer with expertise in computer vision, data science, hardware setup, and processing requirements.

The ideal candidate will have at least 3 years of professional experience in designing, implementing, and optimizing AI solutions that integrate hardware and software.

You will play a critical role in developing and deploying state-of-the-art computer vision systems tailored to specific hardware platforms and use cases.

Key Responsibilities :

1. Computer Vision Development :

- Design, develop, and deploy computer vision algorithms for applications such as object detection, recognition, tracking, and scene understanding.

- Optimize vision models for real-time processing and resource-constrained environments.

2. Hardware Integration :

- Set up, configure, and optimize hardware platforms for AI solutions, including GPUs, TPUs, and embedded devices.

- Ensure seamless interaction between hardware and AI models, including custom hardware configurations when necessary.

3. Performance Optimization :

- Analyze processing requirements and optimize pipelines for speed, memory usage, and power efficiency.

- Use tools like TensorRT, OpenVINO, or ONNX to accelerate AI models.

4. Collaboration :

- Work with cross-functional teams to define hardware requirements and ensure compatibility with AI workflows.

- Collaborate with data scientists to preprocess data and train robust computer vision models.

5. Deployment and Maintenance :

- Deploy AI solutions on various platforms, ensuring scalability and reliability.

- Monitor and maintain AI systems to ensure optimal performance in production environments.

Required Qualifications :

- Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field.

- Minimum of 3 years of experience in AI engineering, with a focus on computer vision.

- Strong knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Keras.

- Experience in setting up and working with hardware platforms, including GPUs, FPGAs, or edge devices like NVIDIA Jetson or Google Coral.

- Proficiency in programming languages such as Python, C++, or CUDA.

- Hands on experience with tools for hardware acceleration (e.g., TensorRT, OpenVINO, or ONNX Runtime).

Preferred Skills :

- Familiarity with robotics or autonomous systems.

- Knowledge of hardware-software co-design principles.

- Experience with edge AI deployment and optimization.

- Familiarity with data annotation tools and datasets for computer vision tasks.

- Excellent problem-solving and debugging skills.

Why Join Us ?

- Opportunity to work on cutting-edge AI solutions with real-world impact.

- Collaborative environment with opportunities for learning and growth.

- Access to state-of-the-art hardware and tools for AI development.