Remote AI/ML Engineer – Computer Vision
Our client, a leader in the AI and Emerging Technologies space, is seeking a highly skilled and innovative Remote AI/ML Engineer with a specialization in Computer Vision to join their cutting-edge, fully remote team. This role is pivotal in developing and deploying advanced computer vision models and algorithms that drive intelligent solutions. You will be instrumental in areas such as image recognition, object detection, video analysis, and machine learning model optimization. The ideal candidate possesses a strong theoretical foundation in machine learning and deep learning, practical experience in developing and deploying computer vision systems, and a passion for pushing the boundaries of artificial intelligence. You thrive in a collaborative, remote environment and are eager to contribute to groundbreaking projects.
Responsibilities: Design, develop, train, and deploy machine learning and deep learning models for computer vision tasks, including image classification, object detection, segmentation, and tracking. Implement and optimize algorithms for real-time image and video processing. Work with large datasets, including data augmentation, preprocessing, and annotation strategies. Develop and maintain robust pipelines for model training, evaluation, and deployment. Collaborate closely with software engineers and product managers to integrate AI/ML solutions into products and services. Research and stay abreast of the latest advancements in computer vision, deep learning, and related AI fields. Experiment with various model architectures and frameworks (e.g., TensorFlow, PyTorch). Optimize model performance for efficiency, accuracy, and scalability, potentially targeting edge devices or cloud environments. Contribute to the overall AI strategy and roadmap of the organization. Participate in code reviews, knowledge sharing, and mentoring junior team members. Qualifications: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 3+ years of hands-on experience in developing and deploying computer vision models. Strong programming skills in Python and experience with relevant libraries (e.g., OpenCV, scikit-image). Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning algorithms, statistical modeling, and deep learning architectures (e.g., CNNs, RNNs, Transformers). Experience with data manipulation and analysis libraries (e.g., NumPy, Pandas). Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and collaboration skills, essential for a remote team environment. Demonstrated ability to work independently and take initiative in a fully remote setting.
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Company : Placements24
Salary : Work from home
Responsibilities: Design, develop, train, and deploy machine learning and deep learning models for computer vision tasks, including image classification, object detection, segmentation, and tracking. Implement and optimize algorithms for real-time image and video processing. Work with large datasets, including data augmentation, preprocessing, and annotation strategies. Develop and maintain robust pipelines for model training, evaluation, and deployment. Collaborate closely with software engineers and product managers to integrate AI/ML solutions into products and services. Research and stay abreast of the latest advancements in computer vision, deep learning, and related AI fields. Experiment with various model architectures and frameworks (e.g., TensorFlow, PyTorch). Optimize model performance for efficiency, accuracy, and scalability, potentially targeting edge devices or cloud environments. Contribute to the overall AI strategy and roadmap of the organization. Participate in code reviews, knowledge sharing, and mentoring junior team members. Qualifications: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 3+ years of hands-on experience in developing and deploying computer vision models. Strong programming skills in Python and experience with relevant libraries (e.g., OpenCV, scikit-image). Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning algorithms, statistical modeling, and deep learning architectures (e.g., CNNs, RNNs, Transformers). Experience with data manipulation and analysis libraries (e.g., NumPy, Pandas). Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and collaboration skills, essential for a remote team environment. Demonstrated ability to work independently and take initiative in a fully remote setting.
Apply To this Job
Company : Placements24
Salary : Work from home