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AI/ML Engineer - Computer Vision Specialist
400601 Thane, Maharashtra
₹70000 Monthly
WhatJobs Direct
Posted 1 day ago
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Job Description
Our client is at the forefront of developing cutting-edge AI solutions and is seeking a highly skilled and innovative AI/ML Engineer with a specialization in Computer Vision. This role is pivotal in designing, developing, and deploying sophisticated computer vision models and systems that drive product innovation and solve complex real-world problems. You will work within a talented team of researchers and engineers, pushing the boundaries of what's possible with artificial intelligence.
Key Responsibilities:
Key Responsibilities:
- Develop, train, and evaluate deep learning models for computer vision tasks such as image classification, object detection, segmentation, and facial recognition.
- Implement and optimize computer vision algorithms for real-time performance on various hardware platforms.
- Preprocess and augment large-scale image and video datasets.
- Collaborate with product managers and software engineers to integrate AI models into production systems.
- Stay current with the latest research and advancements in AI, deep learning, and computer vision.
- Experiment with different model architectures, frameworks (e.g., TensorFlow, PyTorch), and techniques to achieve state-of-the-art results.
- Analyze model performance, identify areas for improvement, and implement optimization strategies.
- Contribute to the development of scalable MLOps pipelines for model deployment and monitoring.
- Document research findings, model architectures, and implementation details.
- Present technical insights and project progress to stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience in developing and deploying computer vision models using deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of image processing techniques, classical computer vision algorithms, and deep learning architectures (CNNs, RNNs, Transformers).
- Proficiency in programming languages such as Python, with experience in relevant libraries (e.g., OpenCV, Scikit-image, NumPy).
- Experience with data augmentation, transfer learning, and model optimization techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities, especially in a hybrid work setting.
- Ability to work independently and lead technical initiatives.
- Published research in reputable AI/ML conferences or journals is highly desirable.
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