162 Computer Vision jobs in Kenya
Senior Computer Vision Engineer
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Key Responsibilities:
- Design, develop, and implement state-of-the-art computer vision algorithms and models.
- Process and analyze large-scale image and video datasets.
- Develop solutions for object detection, recognition, tracking, segmentation, and pose estimation.
- Implement deep learning models for computer vision tasks using frameworks like TensorFlow or PyTorch.
- Optimize algorithms for real-time performance on various hardware platforms.
- Collaborate with software engineers and AI researchers to integrate computer vision capabilities into larger systems.
- Conduct rigorous testing and validation of computer vision models.
- Stay abreast of the latest research and advancements in the field of computer vision and machine learning.
- Document research findings, development processes, and system designs.
- Mentor junior engineers and contribute to the team's technical growth.
Qualifications:
- Master's or Ph.D. in Computer Science, Electrical Engineering, Computer Vision, or a related field, or equivalent experience.
- Minimum of 6 years of professional experience in computer vision or machine learning.
- Proven experience in developing and deploying computer vision algorithms in production environments.
- Strong proficiency in C++, Python, and relevant computer vision libraries (e.g., OpenCV, PCL).
- Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Expertise in areas such as image processing, feature extraction, pattern recognition, and 3D vision.
- Familiarity with machine learning principles and techniques.
- Experience with cloud computing platforms and MLOps is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team environment.
Lead Computer Vision Engineer
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Key responsibilities include: leading the design and development of state-of-the-art computer vision algorithms and models; architecting scalable and efficient computer vision pipelines; overseeing the implementation of deep learning frameworks (e.g., TensorFlow, PyTorch) for image and video analysis; managing a team of computer vision engineers and researchers; collaborating with product managers and software engineers to define project requirements and deliverables; conducting rigorous testing and validation of computer vision systems; optimizing model performance for real-time applications; staying current with the latest research and advancements in the field of computer vision; contributing to intellectual property generation through patents and publications.
We require a Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in computer vision or machine learning. A minimum of 7 years of progressive experience in computer vision engineering, with at least 2 years in a technical leadership role, is essential. Demonstrated experience with deep learning techniques for image recognition, object detection, segmentation, and tracking is mandatory. Proficiency in C++ and Python, along with experience in relevant libraries (e.g., OpenCV, CUDA), is required. Experience with cloud platforms and large-scale data processing is highly beneficial. Strong problem-solving skills, excellent communication abilities, and a passion for innovation in AI are crucial for this remote role.
Machine Learning Engineer - Computer Vision
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Key Responsibilities:
- Design, develop, and implement advanced machine learning models for computer vision tasks, including image classification, object detection, segmentation, and tracking.
- Preprocess and augment large-scale image and video datasets.
- Train, evaluate, and optimize deep learning models using frameworks like TensorFlow, PyTorch, and Keras.
- Deploy machine learning models into production environments, ensuring scalability and performance.
- Collaborate with data scientists, software engineers, and product managers to integrate computer vision capabilities into our client's products.
- Conduct research into new computer vision algorithms and techniques to improve model accuracy and efficiency.
- Stay up-to-date with the latest advancements in the field of computer vision and deep learning.
- Develop robust pipelines for data management, model training, and deployment.
- Write clean, efficient, and well-documented code.
- Troubleshoot and debug machine learning models and systems.
Qualifications:
- 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.
- Strong programming skills in Python and proficiency with relevant libraries (e.g., OpenCV, scikit-image).
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch).
- Solid understanding of convolutional neural networks (CNNs) and other deep learning architectures.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills, vital for a remote team environment.
- Ability to work independently and manage projects effectively.
- Experience with data augmentation techniques and regularization methods.
This position is fully remote, offering a flexible work environment. Our client encourages innovation and provides opportunities for professional growth in a rapidly evolving field.
Senior Data Scientist - Computer Vision
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Principal AI Engineer - Computer Vision
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AI Research Scientist - Computer Vision
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Key Responsibilities:
- Conduct cutting-edge research in computer vision and deep learning.
- Develop, implement, and optimize novel AI models and algorithms.
- Design and execute experiments to evaluate model performance.
- Analyze large datasets to extract meaningful insights and identify trends.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Publish research findings in leading academic conferences and journals.
- Stay current with the latest advancements in AI and computer vision.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and interns.
- Present research results to technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field with a focus on Computer Vision.
- Proven experience in developing and deploying deep learning models (CNNs, RNNs, Transformers).
- Proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras).
- Expertise in computer vision tasks such as object detection, segmentation, and recognition.
- Experience with cloud platforms (AWS, Azure, GCP) for machine learning is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR).
- Ability to work independently and as part of a collaborative research team.
Senior AI Engineer (Computer Vision)
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Senior AI Engineer (Computer Vision)
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Responsibilities:
- Develop and implement advanced computer vision algorithms and models.
- Design, train, and evaluate deep learning models for image and video analysis.
- Utilize frameworks like TensorFlow, PyTorch, and libraries such as OpenCV.
- Perform image preprocessing, feature engineering, and model optimization.
- Collaborate with a global team to integrate AI solutions into products.
- Stay current with the latest research and advancements in computer vision.
- Contribute to the design and maintenance of AI development pipelines.
- Ensure the performance, scalability, and accuracy of computer vision systems.
- Troubleshoot and resolve issues related to AI model deployment and operation.
- Participate in code reviews and contribute to engineering best practices.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on AI/Computer Vision.
- Proven experience in developing and deploying computer vision solutions.
- Strong understanding of machine learning, deep learning, and computer vision concepts.
- Proficiency in Python and relevant libraries (NumPy, SciPy, Pandas).
- Expertise in deep learning frameworks (TensorFlow, PyTorch) and computer vision libraries (OpenCV, Keras).
- Experience with data augmentation and model evaluation techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) for ML workloads.
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication skills for effective collaboration in a remote team.
- Experience with real-time computer vision applications is a plus.
AI Research Scientist - Computer Vision
Posted today
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Responsibilities:
- Conduct cutting-edge research in computer vision and deep learning.
- Develop and implement novel AI algorithms for image and video analysis.
- Design, train, and evaluate machine learning models.
- Collaborate with engineers to integrate AI solutions into products.
- Analyze large datasets and extract meaningful insights.
- Stay current with the latest advancements in AI and computer vision research.
- Publish research findings in top-tier conferences and journals.
- Contribute to the development of AI prototypes and proof-of-concepts.
- Mentor junior researchers and engineers.
- Participate in scientific discussions and contribute to research strategy.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Proven research experience in computer vision and deep learning.
- Strong publication record in relevant conferences/journals.
- Expertise in Python programming and ML frameworks (TensorFlow, PyTorch).
- Solid understanding of mathematics, statistics, and algorithms.
- Experience with large-scale data processing and cloud platforms.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work independently and as part of a research team.
AI/ML Engineer - Computer Vision
Posted today
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Key Responsibilities:
- Develop, train, and evaluate deep learning models for computer vision tasks.
- Implement and optimize algorithms for image and video processing.
- Work with large-scale datasets, ensuring data quality and preprocessing.
- Deploy machine learning models into production environments.
- Collaborate with software engineers to integrate AI features into applications.
- Research and stay updated on the latest advancements in AI and computer vision.
- Contribute to the design and architecture of AI systems.
- Document code, models, and experimental results.
- Participate in code reviews and knowledge sharing sessions.