Senior AI Engineer

Location: Bangalore (onsite). Candidates are expected to report to the office 5 days a week.

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

Experience: 5-7 years of experience in designing, training, and deploying computer vision models using frameworks like TensorFlow, PyTorch, or ONNX.

Model Optimization: Expertise in model quantization, pruning, distillation, and structured sparsity techniques to enhance performance on edge devices and low-power hardware.

Architectures: Hands-on experience with state-of-the-art architectures such as YOLO, Faster R-CNN, Vision Transformers, and their optimization for deployment.

Computer Vision: Strong understanding of image preprocessing, feature extraction, traditional computer vision techniques, and end-to-end model pipelines.

Performance Profiling: Experience in profiling and optimizing model inference speed, memory usage, and throughput for resource-constrained environments.

Hardware Optimization:



Practical experience in deploying AI models on embedded systems and low-power hardware like NVIDIA Jetson, Intel Movidius, or ARM processors.

Programming: Proficiency in Python and C++ for developing AI solutions, with experience in parallel processing (CUDA, OpenCL) and hardware-aware optimizations.

MLOps: Familiarity with CI/CD pipelines, containerization (Docker), and deployment frameworks for managing AI workflows efficiently.

Version Control: Strong experience with Git and cooperative workflows in team-based environments.

Soft Skills: Strong analytical thinking, communication skills, and ability to document processes effectively.

Collaboration: Proven ability to work in cross-functional teams, collaborate with stakeholders, and contribute to project planning.Role & responsibilities

Preferred candidate profile

📌 Senior AI Engineer-Computer Vision (Bengaluru)
🏢 Acesoft Labs
📍 Bengaluru