8 Remote AI Ml Engineer Computer Vision jobs in whatjobs
Remote AI/ML Engineer - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Our client is a leader in applying cutting-edge artificial intelligence to solve complex problems and is seeking a talented Remote AI/ML Engineer specializing in Computer Vision to join their innovative, fully remote team. This role is pivotal in developing and deploying advanced machine learning models for image and video analysis. You will be responsible for the entire lifecycle of ML models, from data collection and preprocessing to model training, evaluation, and deployment. Key areas of focus include object detection, image segmentation, facial recognition, and video analytics. The ideal candidate possesses a strong theoretical understanding of machine learning algorithms, particularly deep learning techniques, and practical experience implementing them using frameworks like TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python is essential. You will work with large datasets, requiring strong data wrangling and feature engineering skills. This is a remote position, demanding excellent self-management, proactive communication, and the ability to collaborate effectively with a distributed team of researchers and engineers. You will contribute to groundbreaking projects that push the boundaries of AI capabilities. The ability to troubleshoot complex technical challenges and optimize model performance for real-world applications is crucial. If you are passionate about computer vision, thrive in a remote work environment, and are eager to make a significant impact, we encourage you to apply. Your contributions will help shape the future of intelligent systems.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks (object detection, segmentation, recognition, etc.).
- Collect, clean, and preprocess large datasets for model training and evaluation.
- Train, evaluate, and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Develop and maintain robust ML pipelines for data processing, training, and inference.
- Optimize model performance for accuracy, speed, and resource efficiency.
- Deploy ML models into production environments, collaborating with software engineers.
- Research and stay abreast of the latest advancements in AI, ML, and computer vision.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Document model architectures, experiments, and results thoroughly.
- Troubleshoot and resolve issues related to ML model performance and deployment.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying computer vision models.
- Strong theoretical and practical knowledge of deep learning techniques (CNNs, RNNs, Transformers).
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with data augmentation, model optimization, and performance evaluation.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills for remote teamwork.
- Ability to work independently and manage projects effectively.
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Remote AI/ML Engineer - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Remote AI/ML Engineer with a specialization in Computer Vision to drive the development of cutting-edge artificial intelligence solutions. This role is pivotal in advancing our capabilities in image and video analysis, object detection, facial recognition, and other vision-based AI applications. You will be responsible for designing, building, training, and deploying machine learning models that solve complex real-world problems. The ideal candidate possesses a strong theoretical understanding of deep learning frameworks, computer vision algorithms, and data science principles, combined with hands-on experience in model development and optimization. You will work closely with a team of data scientists, software engineers, and product managers to translate business requirements into functional AI systems, all within a fully remote setting. Responsibilities include data preprocessing, feature engineering, model selection and evaluation, performance tuning, and deployment. Excellent programming skills in Python and proficiency with libraries like TensorFlow, PyTorch, and OpenCV are essential. Strong analytical and problem-solving abilities are required to tackle challenging AI tasks and iterate on solutions effectively. This position demands a proactive, research-oriented mindset, a commitment to staying at the forefront of AI advancements, and the capacity to manage complex projects independently. Contributing to the development of groundbreaking AI technologies that provide significant business value is the core mission. This is an exceptional opportunity for an AI/ML expert to apply their vision expertise remotely and shape the future of intelligent systems.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks (e.g., image classification, object detection, segmentation).
- Process and analyze large datasets of images and videos.
- Experiment with various deep learning architectures and algorithms.
- Train, evaluate, and fine-tune machine learning models for optimal performance.
- Deploy ML models into production environments.
- Collaborate with software engineers to integrate AI models into applications.
- Conduct research on state-of-the-art computer vision techniques.
- Optimize model performance for speed and efficiency.
- Write clean, well-documented, and maintainable code.
- Stay updated on the latest advancements in AI, ML, and computer vision.
- Contribute to technical documentation and knowledge sharing.
- Troubleshoot and resolve issues related to ML model performance.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 3 years of experience in AI/ML engineering, with a focus on computer vision.
- Proficiency in Python and relevant ML/DL libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
- Strong experience with computer vision libraries (e.g., OpenCV).
- Solid understanding of deep learning principles and various model architectures (CNNs, RNNs, Transformers).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Strong analytical, problem-solving, and algorithmic thinking skills.
- Excellent communication and collaboration abilities for remote work.
- Published research in relevant conferences or journals is a plus.
This advertiser has chosen not to accept applicants from your region.
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Remote AI/ML Engineer - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Our client, a leader in AI and Emerging Technologies, is seeking an innovative and skilled Remote AI/ML Engineer specializing in Computer Vision. This fully remote position allows you to contribute to cutting-edge projects from anywhere in Kenya. You will be responsible for developing, training, and deploying advanced machine learning models for image and video analysis, object detection, and recognition tasks. The ideal candidate will possess a strong theoretical understanding of AI/ML and practical experience in building robust computer vision systems.
Responsibilities:
Qualifications:
This role is perfect for a talented AI/ML engineer who is passionate about pushing the boundaries of computer vision technology. You will have the opportunity to work on challenging and impactful projects, contributing to the advancement of emerging technologies. Our client offers a dynamic, collaborative, and fully remote work environment.
Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks, including image classification, object detection, segmentation, and tracking.
- Preprocess and augment large image and video datasets for model training.
- Train, evaluate, and optimize deep learning models using frameworks like TensorFlow or PyTorch.
- Deploy AI/ML models into production environments, ensuring scalability and performance.
- Collaborate with cross-functional teams to integrate computer vision solutions into various applications.
- Conduct research on state-of-the-art computer vision techniques and algorithms.
- Stay updated with the latest advancements in AI, machine learning, and computer vision research.
- Troubleshoot and debug issues related to model performance and deployment.
- Document model architectures, training procedures, and deployment strategies.
- Contribute to the development of reusable AI/ML components and libraries.
Qualifications:
- Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field.
- Minimum of 4 years of professional experience in AI/ML engineering, with a strong focus on computer vision.
- Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Keras, OpenCV, Scikit-learn).
- Solid understanding of deep learning architectures (CNNs, RNNs, Transformers) and their applications in computer vision.
- Experience with data augmentation techniques and transfer learning.
- Familiarity with cloud platforms (AWS, GCP, Azure) for model training and deployment.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities, essential for remote team engagement.
- Proven ability to work independently and manage multiple projects effectively in a remote setting.
- Experience with image and video processing is required.
This role is perfect for a talented AI/ML engineer who is passionate about pushing the boundaries of computer vision technology. You will have the opportunity to work on challenging and impactful projects, contributing to the advancement of emerging technologies. Our client offers a dynamic, collaborative, and fully remote work environment.
This advertiser has chosen not to accept applicants from your region.
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Remote AI/ML Engineer - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm at the forefront of Artificial Intelligence, is seeking a talented and innovative Remote AI/ML Engineer specializing in Computer Vision. This is a fully remote position, offering the opportunity to work on groundbreaking projects from any location within Kenya. You will be responsible for designing, developing, and deploying advanced machine learning models and algorithms for image and video analysis. The ideal candidate will have a strong theoretical foundation in AI/ML, practical experience with deep learning frameworks, and a passion for pushing the boundaries of what's possible with computer vision.
Key Responsibilities:
Key Responsibilities:
- Design, implement, and evaluate machine learning models for computer vision tasks (e.g., object detection, image segmentation, facial recognition, OCR).
- Develop and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
- Process and preprocess large datasets of images and videos for model training.
- Conduct experiments, tune hyperparameters, and iterate on models to improve performance.
- Deploy machine learning models into production environments, ensuring scalability and efficiency.
- Collaborate with software engineers and data scientists to integrate AI solutions into products and services.
- Stay current with the latest research and advancements in computer vision and deep learning.
- Write clean, well-documented, and maintainable code.
- Contribute to the technical roadmap and strategic direction of AI initiatives.
- Present findings and model performance to technical and non-technical stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience (3+ years) in developing and deploying computer vision models.
- Strong programming skills in Python and proficiency with relevant libraries (e.g., OpenCV, NumPy, Scikit-image).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Solid understanding of fundamental computer vision algorithms and techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Ability to manage complex projects and deliver results independently.
- Published research in relevant AI/ML conferences or journals is highly desirable.
This advertiser has chosen not to accept applicants from your region.
3
Remote AI/ML Engineer - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Our client is at the forefront of technological innovation and is looking for a talented Remote AI/ML Engineer specializing in Computer Vision to join their advanced research and development team. This fully remote role is perfect for visionary engineers passionate about developing cutting-edge solutions in image and video analysis. You will be responsible for designing, implementing, and deploying machine learning models for tasks such as object detection, image segmentation, facial recognition, and augmented reality. Your work will involve data preprocessing, feature engineering, model training, evaluation, and optimization. You will collaborate closely with a team of researchers, data scientists, and software engineers to bring novel AI applications to life. The ideal candidate will possess a strong academic background in Computer Science, Artificial Intelligence, or a related field, with a Master's or Ph.D. degree preferred. Proven experience in developing and deploying computer vision models using frameworks like TensorFlow, PyTorch, or OpenCV is essential. Proficiency in programming languages such as Python is required, along with a solid understanding of deep learning architectures and algorithms. Experience with cloud platforms (AWS, Azure, GCP) for ML model deployment is a plus. This role demands strong analytical and problem-solving skills, creativity, and the ability to work independently and effectively in a remote, collaborative environment. You will contribute to projects that push the boundaries of AI, potentially impacting industries and applications originating from or serving **Mombasa, Mombasa, KE**. This is an exciting opportunity to work on challenging problems with a global impact.
This advertiser has chosen not to accept applicants from your region.
4
Remote AI/ML Engineer (Computer Vision)
Posted 12 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is looking for a brilliant and motivated Remote AI/ML Engineer with a strong specialization in Computer Vision to join their groundbreaking research and development team. In this fully remote role, you will contribute to the design, development, and deployment of cutting-edge AI models that power next-generation solutions. You will work with large datasets, advanced algorithms, and state-of-the-art tools to push the boundaries of what's possible in computer vision.
Key Responsibilities:
Key Responsibilities:
- Design, train, and evaluate machine learning models, with a primary focus on computer vision tasks such as object detection, image segmentation, and facial recognition.
- Develop and implement deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
- Process and preprocess large-scale image and video datasets for model training.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Conduct research into new AI and computer vision techniques, evaluating their potential application.
- Optimize model performance for efficiency, accuracy, and scalability.
- Write clean, well-documented, and maintainable code in Python or other relevant languages.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research.
- Participate in code reviews and contribute to team discussions on technical strategy.
- Document findings, methodologies, and results effectively for both technical and non-technical audiences.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying computer vision models in real-world applications.
- Proficiency with major deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong programming skills in Python, including libraries like NumPy, Pandas, and OpenCV.
- Solid understanding of classical computer vision algorithms and techniques.
- Experience with cloud platforms (AWS, Azure, GCP) for ML workloads is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team environment.
- Ability to work independently, manage research projects, and meet deadlines effectively.
- A passion for innovation and a drive to contribute to impactful AI solutions.
This advertiser has chosen not to accept applicants from your region.
5
Remote AI/ML Engineer - Computer Vision
Posted 5 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation and is seeking a talented and passionate Remote AI/ML Engineer specializing in Computer Vision to join their cutting-edge research and development team. This is a unique opportunity for a skilled professional to contribute to groundbreaking projects from anywhere in the world. You will be instrumental in designing, developing, and deploying advanced machine learning models for image and video analysis. Your work will involve leveraging state-of-the-art techniques in deep learning, neural networks, and computer vision algorithms to solve complex real-world problems.
Responsibilities:
Responsibilities:
- Design, train, and optimize deep learning models for various computer vision tasks (e.g., object detection, image segmentation, facial recognition, scene understanding).
- Develop and implement novel algorithms and techniques to push the boundaries of AI capabilities.
- Process and analyze large-scale image and video datasets.
- Collaborate with cross-functional teams (software engineers, product managers) to integrate AI solutions into products and services.
- Stay current with the latest research and advancements in AI, ML, and computer vision.
- Write clean, efficient, and well-documented code in Python and relevant ML frameworks (TensorFlow, PyTorch).
- Conduct thorough experimentation, validation, and performance testing of models.
- Deploy machine learning models into production environments, ensuring scalability and reliability.
- Contribute to the architecture and design of our AI/ML infrastructure.
- Troubleshoot and debug issues related to model performance and implementation.
- Share knowledge and insights through internal presentations and documentation.
- Participate actively in code reviews and team discussions.
- Mentor junior engineers and contribute to a culture of learning and innovation.
- Evaluate and select appropriate tools and technologies for AI/ML projects.
- Ensure ethical considerations and bias mitigation are addressed in model development.
- 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 like TensorFlow, PyTorch, or Keras.
- Strong understanding of fundamental computer vision concepts and algorithms.
- Proficiency in Python and experience with libraries such as OpenCV, NumPy, and SciPy.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent problem-solving skills and a passion for tackling challenging technical problems.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts effectively in a remote setting.
- Demonstrated ability to work independently and manage projects proactively.
- A high-speed internet connection and a conducive remote work environment are essential.
- Portfolio of relevant AI/ML projects is highly desirable.
This advertiser has chosen not to accept applicants from your region.
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6
Remote AI/ML Engineer - Computer Vision
Posted 4 days ago
Job Viewed
Job Description
Our client is looking for a talented and driven Remote AI/ML Engineer specializing in Computer Vision to contribute to cutting-edge projects. This is a fully remote position, offering you the opportunity to work on advanced AI solutions from anywhere. You will be instrumental in designing, developing, and deploying machine learning models for computer vision tasks, including image recognition, object detection, segmentation, and video analysis. Your responsibilities will involve data preprocessing, feature engineering, model training and evaluation, and optimizing models for performance and scalability. You will work with large datasets, utilize deep learning frameworks, and collaborate with a team of experienced AI researchers and engineers. The ideal candidate possesses a strong foundation in mathematics, statistics, and computer science, coupled with hands-on experience in building and deploying computer vision models. Proficiency in programming languages such as Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, OpenCV) are essential. You will be responsible for researching and implementing state-of-the-art computer vision algorithms, conducting experiments, and documenting your findings. This role requires excellent problem-solving skills, a meticulous approach to detail, and the ability to work independently in a remote environment. If you are passionate about pushing the boundaries of computer vision and AI, and thrive in a collaborative, remote setting, we encourage you to apply.
Responsibilities:
Responsibilities:
- Design, develop, and implement machine learning models for various computer vision tasks, including image classification, object detection, segmentation, and tracking.
- Process and analyze large-scale image and video datasets, ensuring data quality and preparing it for model training.
- Experiment with and implement state-of-the-art deep learning architectures and algorithms relevant to computer vision.
- Train, evaluate, and fine-tune computer vision models to achieve optimal performance and accuracy.
- Optimize models for deployment on various platforms, considering factors like speed, memory, and computational resources.
- Collaborate with software engineers to integrate computer vision models into production systems and applications.
- Conduct research on new techniques and technologies in computer vision and machine learning.
- Document research findings, model architectures, and implementation details thoroughly.
- Troubleshoot and debug issues related to model performance and implementation.
- Stay updated with the latest advancements in the field of AI and computer vision.
- Master's or PhD degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field.
- Minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on computer vision.
- Proven experience in developing and deploying computer vision models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in Python programming and relevant libraries (e.g., OpenCV, Scikit-learn, NumPy).
- Solid understanding of image processing techniques, classical computer vision algorithms, and deep learning architectures (CNNs, RNNs, Transformers).
- Experience with data augmentation, model evaluation metrics, and techniques for handling imbalanced datasets.
- Strong mathematical and statistical background.
- Excellent problem-solving and analytical skills.
- Ability to work independently and collaboratively in a remote team environment.
- Strong communication and documentation skills.
This advertiser has chosen not to accept applicants from your region.
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