2 AI Ml Research Scientist Computer Vision jobs in whatjobs
AI/ML Research Scientist (Computer Vision)
Posted 18 days ago
Job Viewed
Job Description
Our client is seeking a brilliant and innovative AI/ML Research Scientist specializing in Computer Vision to join their cutting-edge research team. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking advancements from the comfort of your home office. You will be at the forefront of developing novel algorithms and models for image recognition, object detection, and scene understanding. Your work will involve exploring state-of-the-art deep learning techniques, conducting rigorous experiments, and publishing research findings in leading AI conferences and journals. This role is ideal for a passionate researcher with a strong theoretical background and practical implementation skills.
Key responsibilities include:
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
Key responsibilities include:
- Designing, developing, and implementing advanced computer vision algorithms and models using deep learning.
- Conducting research into areas such as image segmentation, object tracking, facial recognition, and 3D reconstruction.
- Prototyping new AI solutions and validating their performance through extensive experimentation.
- Analyzing large-scale datasets, preparing them for model training, and ensuring data quality.
- Collaborating with software engineers to integrate research prototypes into production systems.
- Staying abreast of the latest academic research and industry trends in AI and computer vision.
- Writing high-quality research papers for publication and presentation.
- Contributing to the intellectual property portfolio through patents and publications.
- Mentoring junior researchers and contributing to the team's technical growth.
- Participating in code reviews and ensuring robust, well-documented research code.
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
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AI/ML Research Scientist (Computer Vision)
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly innovative and motivated AI/ML Research Scientist specializing in Computer Vision to join their cutting-edge research team. This fully remote position offers an exciting opportunity to push the boundaries of AI by developing novel algorithms and models for advanced visual understanding tasks. You will be at the forefront of research, conceptualizing, designing, and implementing state-of-the-art computer vision systems that address complex real-world challenges. This role requires a strong theoretical foundation in machine learning and deep learning, combined with practical experience in implementing and deploying computer vision solutions. You will collaborate with a world-class team of researchers and engineers, publishing findings in top-tier conferences and contributing to intellectual property.
Key Responsibilities:
Key Responsibilities:
- Conduct fundamental and applied research in computer vision, including areas such as image recognition, object detection, segmentation, video analysis, and 3D vision.
- Develop and implement novel deep learning models and algorithms for computer vision tasks.
- Design and execute experiments to validate research hypotheses and benchmark model performance.
- Analyze and interpret experimental results, drawing meaningful conclusions and insights.
- Collaborate with engineering teams to translate research prototypes into production-ready systems.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision through literature review and conference attendance.
- Publish research findings in leading peer-reviewed journals and present at international conferences.
- Contribute to the development of patents and intellectual property.
- Mentor junior researchers and interns, fostering a collaborative research environment.
- Contribute to the strategic direction of the AI research roadmap.
- Develop and maintain high-quality, well-documented code for research experiments.
- Identify and explore new research avenues and potential applications for computer vision technologies.
- Work with large-scale datasets, performing data preprocessing, augmentation, and management.
- Ensure research aligns with ethical guidelines and responsible AI principles.
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field with a specialization in Computer Vision or Machine Learning.
- 3+ years of relevant research experience in computer vision, preferably with a focus on deep learning.
- Strong theoretical and practical understanding of machine learning and deep learning algorithms (CNNs, RNNs, Transformers, etc.).
- Proficiency in programming languages such as Python, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with computer vision libraries (e.g., OpenCV, scikit-image).
- Proven track record of publications in top-tier AI/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Experience working with large datasets and distributed computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts.
- Ability to work independently and effectively in a remote, collaborative team environment.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Familiarity with related AI fields such as NLP or Reinforcement Learning is beneficial.
This advertiser has chosen not to accept applicants from your region.
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