Machine Learning

1 day ago

bangalore, India Infiswift Technologies Full time

Note: This is a full-time contractor role, and we require that they do not take up any other employment while working with us. Role Overview  We are seeking a highly skilled and motivated Machine Learning/Computer Vision Engineer to join our AI team. The core focus of this role will be the end-to-end development and deployment of deep learning models for advanced visual understanding. This includes a strong emphasis on Computer Vision tasks such as Object Detection, Semantic Segmentation, and Instance Segmentation . You will be responsible for translating cutting-edge research into robust, scalable, production-grade systems in a Python-centric environment.  Key Responsibilities  ● Model Design and Development: Research, design, implement, and optimize state-of-the-art deep learning models specifically for computer vision segmentation and object detection algorithms.  ● ML Lifecycle Management: Own the full machine learning lifecycle, from data collection and annotation to training, evaluation, validation, and production deployment.  ● Coding & Integration: Write clean, efficient, and well-documented production code in Python , utilizing key ML/CV libraries and frameworks.  ● System Integration: Collaborate with software and platform engineers to seamlessly integrate computer vision capabilities into our core products and infrastructure.  ● Performance Optimization: Evaluate model performance, benchmark speed and accuracy, and optimize models for inference latency and memory consumption on target hardware (cloud or edge).  ● Research & Innovation: Stay abreast of the latest academic and industry advancements in deep learning and computer vision to propose and implement innovative solutions.  ● Collaboration: Work closely with data scientists, software developers, and product managers to define requirements and deliver high-impact features.  Required Qualifications  ● Experience: A minimum of 3+ years of professional experience in a Machine Learning Engineer, Computer Vision Engineer, or similar role.  ● Programming: Strong proficiency in Python and its scientific computing stack (e.g., NumPy, Pandas).  ● Computer Vision: Proven practical experience with computer vision algorithms and deep learning techniques for Object Detection (e.g., YOLO, Faster R-CNN) and Segmentation (Semantic or Instance).  ● Deep Learning Frameworks: Expertise in at least one major deep learning framework (PyTorch or TensorFlow/Keras ).  ● Tooling: Hands-on experience with computer vision libraries such as OpenCV .  ● Foundational Knowledge: Solid understanding of machine learning principles, neural network architectures (especially CNNs), and image processing fundamentals.  ● Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical/quantitative field.  ● Proficiency in modern code management tools, especially Git.  Preferred Qualifications (Nice-to-Haves)  ● Experience with MLOps practices and tools (e.g., Docker, Kubernetes, experiment tracking, model serving).  ● Familiarity with cloud computing services (AWS, Google Cloud Platform, or Azure) for model training and deployment.  ● Experience in optimizing models for performance and size (e.g., quantization, pruning, use of TensorRT/ONNX). 

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