18 Lead AI Research Scientist Computer Vision jobs in whatjobs
Lead AI Research Scientist - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Lead AI Research Scientist - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the research and development of novel AI algorithms and models for computer vision tasks such as object detection, image recognition, segmentation, and tracking.
- Design and implement deep learning architectures, including CNNs, RNNs, and Transformers, tailored for complex visual data.
- Conduct rigorous experimentation and evaluation of AI models, ensuring robustness, accuracy, and scalability.
- Publish research findings in top-tier AI conferences and journals.
- Mentor and guide a team of AI researchers and engineers, fostering a collaborative and innovative research culture.
- Collaborate with product teams to translate research breakthroughs into practical applications and product features.
- Identify and explore emerging trends and technologies in AI and computer vision.
- Develop and maintain high-quality, well-documented code for AI models and research prototypes.
- Contribute to the strategic direction of the AI research roadmap.
- Ensure ethical considerations and responsible AI practices are integrated into all research activities.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on Computer Vision.
- Minimum of 7 years of relevant research experience in AI and computer vision, with a proven track record of publications and contributions.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and proficiency with libraries like OpenCV, NumPy, and Scikit-learn.
- Deep understanding of various computer vision algorithms and techniques.
- Experience leading research projects and managing a team of scientists and engineers.
- Excellent problem-solving, analytical, and critical thinking skills.
- Outstanding communication and presentation skills, with the ability to articulate complex technical concepts clearly.
- Ability to thrive in a fast-paced, fully remote research environment.
- Demonstrated ability to innovate and think creatively.
Lead AI Research Scientist - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
This is a fully remote position, empowering you to conduct pioneering research from anywhere. Your responsibilities will include formulating research hypotheses, designing and executing experiments, and developing novel algorithms and architectures for computer vision tasks. You will leverage state-of-the-art deep learning frameworks (e.g., TensorFlow, PyTorch) and extensive datasets to train and evaluate models. Mentoring junior scientists, publishing findings in top-tier conferences and journals, and staying ahead of the rapidly evolving AI landscape are key aspects of this role. We expect you to contribute to the intellectual property portfolio and potentially lead patent applications. Effective communication and collaboration with cross-functional teams, including software engineers and product managers, are essential for integrating research into product roadmaps. We seek a visionary leader with a passion for pushing the boundaries of artificial intelligence and a deep commitment to scientific rigor. Experience leading research projects and a strong understanding of the practical applications of computer vision are prerequisites. Experience working in a remote-first, globally distributed team is highly desirable. This is a unique opportunity to shape the future of AI from your home office.
Qualifications:
- Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
- Minimum of 7 years of post-doctoral research experience in AI/ML, with a significant focus on computer vision.
- Proven track record of developing and implementing deep learning models for image recognition, object detection, segmentation, and generative tasks.
- Expertise in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong publication record in top AI/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS).
- Experience leading research teams and managing projects.
- Excellent analytical, problem-solving, and communication skills.
Lead AI Research Scientist - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Lead AI Research Scientist, Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Lead cutting-edge research in computer vision and deep learning.
- Develop novel algorithms and models for image and video analysis.
- Mentor and guide a team of AI researchers and engineers.
- Design and conduct experiments to validate research hypotheses.
- Publish research findings in leading AI conferences and journals.
- Collaborate with product teams to translate research into practical applications.
- Stay abreast of the latest advancements in AI and computer vision.
- Contribute to the intellectual property portfolio through patents and publications.
- Optimize model performance for efficiency and scalability.
- Present research outcomes to internal and external stakeholders.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 8 years of relevant research experience in computer vision.
- Proven track record of publications in top-tier AI venues.
- Expertise in deep learning frameworks (TensorFlow, PyTorch).
- Strong programming skills in Python and experience with relevant libraries.
- In-depth knowledge of various computer vision tasks (detection, segmentation, recognition).
- Experience with large datasets and distributed training.
- Excellent leadership, problem-solving, and communication skills.
- Ability to work independently and as part of a remote team.
- Demonstrated experience in mentoring junior researchers.
Lead AI Research Scientist, Computer Vision
Posted 11 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead innovative research projects in computer vision, focusing on areas such as object detection, segmentation, image generation, and scene understanding.
- Design, develop, and optimize deep learning models and algorithms using frameworks like TensorFlow, PyTorch, or similar.
- Conduct rigorous experimentation, data analysis, and performance evaluation of AI models.
- Collaborate closely with software engineering teams to integrate research prototypes into production systems.
- Publish research findings in top-tier conferences and journals, contributing to the scientific community.
- Mentor and guide junior researchers and engineers, fostering a culture of learning and innovation.
- Stay current with the latest advancements in AI, machine learning, and computer vision.
- Explore and leverage emerging AI technologies and methodologies.
- Define research roadmaps and contribute to the strategic direction of AI development.
- Present research findings and technical strategies to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field with a strong focus on computer vision.
- 5+ years of hands-on research experience in AI and machine learning, with a significant portion dedicated to computer vision.
- Proven expertise in developing and implementing deep learning models for image and video analysis.
- Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, OpenCV).
- Strong publication record in leading AI/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Experience with cloud platforms (AWS, GCP, Azure) for AI model training and deployment.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities, essential for a remote team environment.
- Experience in leading research teams or projects is a significant advantage.
Lead AI Research Scientist - Computer Vision
Posted 11 days ago
Job Viewed
Job Description
Be The First To Know
About the latest Lead ai research scientist computer vision Jobs in Kenya !
Lead AI Research Scientist - Computer Vision
Posted 12 days ago
Job Viewed
Job Description
Key responsibilities include defining research roadmaps, conducting in-depth theoretical and experimental research, and translating research findings into practical, scalable AI solutions. You will guide the team through the entire development lifecycle, from initial prototyping and data exploration to model training, evaluation, and deployment. Proficiency in deep learning frameworks like TensorFlow, PyTorch, or Keras is mandatory. You should have a strong track record of publishing research in top-tier AI conferences or journals, and a passion for staying ahead of the curve in a rapidly evolving field. Exceptional analytical skills, a rigorous scientific approach, and outstanding problem-solving abilities are essential. You will mentor junior researchers, foster a collaborative and innovative research environment, and communicate complex technical concepts effectively to both technical and non-technical stakeholders. This remote role allows you to contribute your advanced AI expertise to projects that may have connections to technological advancements within regions like **Nakuru, Nakuru, KE**, while working with a global network of innovators.
Responsibilities:
- Lead and mentor a team of AI researchers and engineers in computer vision.
- Define research objectives and develop innovative computer vision algorithms.
- Conduct theoretical and empirical research in areas like deep learning, image processing, and pattern recognition.
- Design, train, and evaluate state-of-the-art computer vision models.
- Translate research prototypes into production-ready AI systems.
- Collaborate with product and engineering teams to integrate AI solutions.
- Publish research findings in leading academic venues and contribute to intellectual property.
- Stay abreast of the latest advancements in AI and computer vision research.
- Manage research projects and ensure timely delivery of milestones.
- Foster a culture of innovation, scientific rigor, and collaboration.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 7+ years of research experience in computer vision and deep learning.
- Proven leadership experience managing research teams.
- Extensive experience with deep learning frameworks (TensorFlow, PyTorch).
- Strong publication record in top-tier AI conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS).
- Expertise in programming languages such as Python.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills for effective collaboration and presentation.
Lead AI Research Scientist - Computer Vision
Posted 17 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the design, development, and implementation of advanced computer vision models and algorithms.
- Conduct cutting-edge research in areas such as object detection, image segmentation, facial recognition, and 3D vision.
- Develop novel deep learning architectures and training methodologies tailored for complex vision tasks.
- Experiment with large-scale datasets, performing data preprocessing, augmentation, and analysis.
- Collaborate with software engineers to deploy AI models into production systems.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and contribute to the team's technical growth.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision.
- Contribute to patent applications and intellectual property development.
- Present research results to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- Strong publication record in leading AI/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, C++.
- Solid understanding of image processing techniques and computer vision fundamentals.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Excellent problem-solving skills and a strong analytical mindset.
- Ability to work independently and collaboratively in a remote setting.
- Demonstrated leadership potential in research environments.
Lead AI Research Scientist (Computer Vision)
Posted 18 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead research initiatives in computer vision, focusing on novel algorithms and architectures for image and video analysis.
- Develop and implement cutting-edge machine learning models (e.g., deep learning, CNNs, transformers) for various computer vision tasks.
- Design and conduct experiments to evaluate model performance, identify areas for improvement, and validate research hypotheses.
- Mentor and guide a team of AI/ML engineers and researchers, providing technical direction and fostering innovation.
- Collaborate with product teams to translate research breakthroughs into viable features and products.
- Publish research findings in top-tier AI/ML conferences and journals.
- Stay abreast of the latest advancements in computer vision, machine learning, and related fields.
- Manage research project timelines, resources, and deliverables in a remote setting.
- Contribute to the development of intellectual property and patent applications.
- Ensure the ethical development and deployment of AI technologies.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field with a focus on computer vision.
- A minimum of 7 years of hands-on research experience in computer vision and machine learning, with a proven track record of leading successful projects.
- Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and relevant programming languages (Python).
- Strong understanding of image processing techniques, classical computer vision algorithms, and modern deep learning architectures.
- Experience with large-scale datasets and distributed training environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional leadership, communication, and interpersonal skills to effectively manage and inspire a remote team.
- Proven ability to publish research in leading venues.
- Experience with cloud platforms (AWS, GCP, Azure) for AI development is a plus.
- Passion for innovation and a drive to solve challenging problems.