Walk-in || Ai Ml Engineer

Inter Responsibilities:

• Algorithm Development: Design, implement, and optimize computer vision and deep learning algorithms for object detection, segmentation, 3D reconstruction, OCR, anomaly detection, and pose estimation
• End-to-End Pipeline Ownership: Develop and maintain robust vision pipelines, encompassing data ingestion, preprocessing, inference, post-processing, and system integration
• Model Lifecycle Management: Train, fine-tune, evaluate, and deploy deep learning models (CNNs, Transformers, etc.) using frameworks like PyTorch, TensorFlow.
• Performance Optimization: Optimize models for edge deployment using techniques such as quantization, pruning, and leveraging inference engines like TensorRT, ONNX, or OpenVINO to meet strict latency and power constraints
• Embedded Integration: Collaborate with embedded engineers to port and optimize vision software for various hardware platforms (SoCs, GPUs, NPUs)
• Research & Innovation: Stay current with the latest research in computer vision and machine learning, rapidly prototyping new techniques to enhance our capabilities
• Software Engineering Best Practices: Write clean, documented, and maintainable code, and actively contribute to internal libraries, tools, and code reviews

Essential Skills

• Bachelors/masters in computer science, Electrical Engineering, Robotics, or a related field
• Industry experience in computer vision or machine learning
• Strong programming proficiency in Python,C++ and OpenCV.
• Deep, practical experience with at least one major deep learning framework (PyTorch is strongly preferred)
• A proven track record of deploying real-time computer vision systems into a production environment
• Experience deploying models on edge or embedded devices is a strong advantage.

Interested candidate please share your updated resume to the email id: [email removed]

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