AI/ML Engineer - Computer Vision & Deep Learning
Our client, a cutting-edge technology firm at the forefront of AI and Emerging Technologies, is seeking a talented AI/ML Engineer specializing in Computer Vision and Deep Learning. This is a fully remote position, offering the opportunity to work on transformative projects that leverage artificial intelligence to solve complex real-world problems.
Key Responsibilities:
Design, develop, and implement deep learning models for computer vision tasks such as image recognition, object detection, segmentation, and facial recognition. Process and analyze large-scale image and video datasets to train and validate AI models. Utilize frameworks like TensorFlow, PyTorch, and Keras to build and optimize neural networks. Develop and deploy AI/ML models into production environments, ensuring scalability and performance. Collaborate with research scientists and software engineers to integrate AI solutions into existing products and platforms. Conduct research on state-of-the-art AI and machine learning techniques to identify innovative applications. Evaluate and benchmark model performance, identifying areas for improvement. Stay current with the latest advancements in AI, machine learning, computer vision, and deep learning research. Contribute to technical documentation, code reviews, and knowledge sharing within the team. Troubleshoot and resolve issues related to AI model performance and deployment.
Qualifications:
Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field. Minimum of 3 years of hands-on experience in developing and deploying deep learning models, with a focus on computer vision. Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras. Solid understanding of computer vision algorithms and techniques. Experience with data preprocessing, augmentation, and management for deep learning models. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus. Excellent problem-solving, analytical, and critical thinking skills. Strong programming skills and experience with version control systems (e.g., Git). Effective communication and collaboration skills, with the ability to work effectively in a remote team. Experience with large datasets and distributed computing is desirable. This is an exceptional opportunity to work with a brilliant team on groundbreaking AI applications that are shaping the future, all within a flexible and innovative remote work environment.
Apply tot his job
Apply To this Job
Key Responsibilities:
Design, develop, and implement deep learning models for computer vision tasks such as image recognition, object detection, segmentation, and facial recognition. Process and analyze large-scale image and video datasets to train and validate AI models. Utilize frameworks like TensorFlow, PyTorch, and Keras to build and optimize neural networks. Develop and deploy AI/ML models into production environments, ensuring scalability and performance. Collaborate with research scientists and software engineers to integrate AI solutions into existing products and platforms. Conduct research on state-of-the-art AI and machine learning techniques to identify innovative applications. Evaluate and benchmark model performance, identifying areas for improvement. Stay current with the latest advancements in AI, machine learning, computer vision, and deep learning research. Contribute to technical documentation, code reviews, and knowledge sharing within the team. Troubleshoot and resolve issues related to AI model performance and deployment.
Qualifications:
Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field. Minimum of 3 years of hands-on experience in developing and deploying deep learning models, with a focus on computer vision. Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras. Solid understanding of computer vision algorithms and techniques. Experience with data preprocessing, augmentation, and management for deep learning models. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus. Excellent problem-solving, analytical, and critical thinking skills. Strong programming skills and experience with version control systems (e.g., Git). Effective communication and collaboration skills, with the ability to work effectively in a remote team. Experience with large datasets and distributed computing is desirable. This is an exceptional opportunity to work with a brilliant team on groundbreaking AI applications that are shaping the future, all within a flexible and innovative remote work environment.
Apply tot his job
Apply To this Job