2,514 Principal Research Scientist AI In Genomics jobs in Kenya
Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 6 days ago
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Job Description
Our client, a groundbreaking leader in AI and Emerging Technologies, is actively seeking a Principal AI Research Scientist to join their elite, fully remote team. This role is at the cutting edge of artificial intelligence, focusing on advanced deep learning techniques for computer vision applications. You will spearhead innovative research, develop novel algorithms, and publish impactful findings that push the boundaries of the field. The ideal candidate will have a Ph.D. in a relevant discipline, a strong publication record in top-tier AI conferences, and extensive hands-on experience with deep learning frameworks. This is an exceptional opportunity for a leading researcher to drive transformative AI advancements from anywhere.
Responsibilities:
Responsibilities:
- Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
- Design and execute rigorous experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate research prototypes into product development.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Lead research initiatives and define research roadmaps in specific areas of computer vision.
- Explore new application domains for computer vision technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
- A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python and experience with scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong communication and presentation skills.
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Senior AI Research Scientist - Deep Learning & Computer Vision
Posted 6 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior AI Research Scientist specializing in Deep Learning and Computer Vision to join their pioneering team. This is a fully remote, impactful role where you will be at the forefront of developing next-generation AI solutions. You will be responsible for conceptualizing, designing, and implementing cutting-edge machine learning models and algorithms, with a particular focus on image recognition, object detection, and video analysis. Your work will directly contribute to innovative projects that push the boundaries of artificial intelligence. This position requires a deep understanding of mathematical principles, statistical modeling, and advanced programming techniques. You will collaborate closely with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead research initiatives in deep learning, computer vision, and related AI fields.
- Develop and implement novel algorithms for image and video understanding, including segmentation, classification, and tracking.
- Design and train complex neural network architectures (CNNs, RNNs, Transformers, etc.) using frameworks like TensorFlow, PyTorch, or JAX.
- Evaluate and optimize model performance, ensuring robustness and scalability for real-world deployment.
- Stay abreast of the latest advancements in AI research and identify opportunities for innovation.
- Collaborate with engineering teams to integrate AI models into production systems.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and contribute to a collaborative research environment.
- Work remotely, leveraging communication and collaboration tools to maintain high levels of productivity and team synergy. The opportunity to work from your preferred location within Bungoma, Bungoma, KE is provided with this role.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development, with a strong publication record in computer vision and deep learning.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Solid understanding of linear algebra, calculus, probability, and statistics.
- Experience with cloud platforms (AWS, GCP, Azure) and distributed training is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
- Demonstrated ability to work independently and as part of a remote team.
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AI/ML Research Scientist (Computer Vision)
Posted 18 days ago
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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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2
Senior AI/ML Research Scientist (Computer Vision)
Posted 20 days ago
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Job Description
Our client, a pioneering research and development lab at the forefront of AI and Emerging Technologies, is seeking an exceptional Senior AI/ML Research Scientist specializing in Computer Vision. This fully remote role involves pushing the boundaries of artificial intelligence by developing novel algorithms and models for image and video analysis. The ideal candidate will have a Ph.D. or a strong Master's degree in a relevant field, a publication record in top-tier AI conferences, and extensive experience in deep learning frameworks. You will work on challenging problems with a world-class team of researchers.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in computer vision, including areas such as object detection, image segmentation, facial recognition, and 3D vision.
- Develop and implement novel deep learning models and algorithms for complex visual tasks.
- Design and execute experiments to validate research hypotheses and measure model performance.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research through literature review and conference participation.
- Collaborate with other researchers and engineers to translate research findings into practical applications.
- Publish research results in top-tier academic conferences and journals.
- Develop prototypes and proof-of-concepts for new AI-driven features and products.
- Contribute to the intellectual property of the organization through patents and publications.
- Mentor junior researchers and interns in AI/ML and computer vision.
- Contribute to the design and implementation of our AI infrastructure.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- Minimum of 5 years of research experience in AI/ML, with a strong focus on computer vision.
- Proven track record of publications in leading AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) or journals.
- Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python, and experience with scientific computing libraries (e.g., NumPy, SciPy).
- Strong understanding of classical computer vision techniques and modern deep learning architectures.
- Experience with large-scale datasets and distributed training is a plus.
- Ability to work independently and as part of a highly collaborative, remote research team.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
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3
Remote AI/ML Research Scientist (Computer Vision)
Posted 11 days ago
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Job Description
Our client is at the forefront of AI and Emerging Technologies, and we are seeking a brilliant Remote AI/ML Research Scientist specializing in Computer Vision. This is a fully remote position, offering you the chance to conduct groundbreaking research and develop cutting-edge solutions in visual intelligence. You will work with a world-class team to push the boundaries of what's possible in image and video analysis, object detection, recognition, and more.
Key Responsibilities:
Key Responsibilities:
- Conduct original research in computer vision and machine learning, focusing on areas such as image recognition, object detection, segmentation, and generative models.
- Develop and implement novel algorithms and models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Design and execute experiments to evaluate model performance, analyze results, and iterate on research hypotheses.
- Collaborate with software engineers to translate research prototypes into deployable AI systems.
- Stay abreast of the latest academic research and industry trends in computer vision and AI.
- Publish research findings in top-tier conferences and journals.
- Contribute to the development of intellectual property, including patents and proprietary algorithms.
- Analyze large-scale datasets to train and validate machine learning models.
- Effectively communicate complex research concepts and results to both technical and non-technical audiences.
- Mentor junior researchers and contribute to a collaborative and innovative research environment.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
- Proven track record of research and development in computer vision, evidenced by publications, patents, or significant contributions to open-source projects.
- Strong theoretical understanding and practical experience with deep learning architectures (CNNs, RNNs, Transformers) and computer vision techniques.
- Proficiency in programming languages such as Python and experience with deep learning libraries (TensorFlow, PyTorch, Keras).
- Experience with data manipulation, feature engineering, and model evaluation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for presenting research and collaborating effectively.
- Ability to work independently, manage research projects, and meet ambitious deadlines in a remote setting.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- A passion for pushing the boundaries of AI and its applications.
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4
Principal AI Research Scientist - Machine Learning & Computer Vision
Posted 20 days ago
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Job Description
Our client is seeking a brilliant and visionary Principal AI Research Scientist specializing in Machine Learning and Computer Vision for a fully remote role. You will lead groundbreaking research initiatives aimed at developing novel AI algorithms and solutions that address complex real-world problems. This position requires a Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record in top-tier conferences and journals. Your responsibilities will include conceptualizing and executing research projects, developing and implementing cutting-edge ML models (deep learning, reinforcement learning, etc.), and driving innovation in areas such as object detection, image segmentation, and predictive modeling. You will collaborate with cross-functional teams of engineers and product managers to translate research breakthroughs into practical applications. A deep understanding of Python, TensorFlow, PyTorch, and other relevant ML frameworks is essential. The ideal candidate will possess exceptional analytical and problem-solving skills, a passion for scientific discovery, and the ability to mentor junior researchers and engineers. Experience with large-scale data processing and distributed computing environments is highly beneficial. This remote role demands strong communication skills for presenting complex research findings and fostering collaboration within a global, distributed team. You will be at the forefront of AI innovation, shaping the future of our client's technology landscape and contributing to significant advancements in artificial intelligence. This is an unparalleled opportunity to conduct high-impact research with the flexibility of remote work.
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5
Senior AI/ML Research Scientist - Computer Vision, Remote
Posted 17 days ago
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Job Description
Our client is looking for a highly accomplished Senior AI/ML Research Scientist with a specialization in Computer Vision to join their pioneering, fully remote research team. This role involves pushing the boundaries of artificial intelligence by developing novel algorithms and models for image and video analysis, object recognition, scene understanding, and generative AI. The ideal candidate will have a strong publication record in top-tier AI conferences and journals, and extensive experience in applying machine learning techniques to real-world problems. You will be instrumental in designing, implementing, and evaluating cutting-edge AI solutions, collaborating with a world-class team of researchers and engineers in a dynamic, virtual environment.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in computer vision and machine learning, focusing on areas such as deep learning, image recognition, object detection, segmentation, and generative models.
- Develop, implement, and rigorously test novel AI algorithms and models using frameworks like TensorFlow, PyTorch, and Keras.
- Design and execute experiments to evaluate model performance, identify limitations, and drive improvements.
- Collaborate with other researchers and engineers to translate research findings into practical applications and deployable solutions.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision through literature review and conference participation.
- Publish research findings in leading academic venues and contribute to the broader AI community.
- Mentor junior researchers and contribute to the technical direction of the team.
- Analyze large-scale datasets, preprocess data, and engineer relevant features for model training.
- Contribute to the development of intellectual property and patents.
- Effectively communicate complex research concepts and results to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field with a strong focus on Computer Vision.
- 5+ years of research experience in AI/ML, with a significant emphasis on computer vision algorithms and techniques.
- Proven track record of publications in top-tier AI/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) and journals.
- Expertise in deep learning architectures (CNNs, Transformers, GANs, etc.) and frameworks (TensorFlow, PyTorch).
- Strong programming skills in Python and experience with relevant libraries (NumPy, SciPy, OpenCV).
- Experience working with large datasets and distributed computing environments.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong written and verbal communication skills, with the ability to clearly articulate complex technical ideas.
- Demonstrated ability to work independently and collaboratively in a remote research setting.
- Experience with cloud computing platforms (AWS, GCP, Azure) and MLOps practices is a plus.
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Senior AI Research Scientist - Machine Learning & Deep Learning
Posted 18 days ago
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Job Description
Our client is seeking a brilliant and innovative Senior AI Research Scientist to join their cutting-edge research team. This is a fully remote position, offering an unparalleled opportunity to contribute to groundbreaking advancements in artificial intelligence, machine learning, and deep learning. The ideal candidate will possess a strong theoretical foundation and extensive practical experience in developing and implementing advanced AI models. You will be responsible for conceptualizing, designing, and executing research projects, with a focus on areas such as natural language processing, computer vision, reinforcement learning, or predictive analytics. Your role will involve staying at the forefront of AI research, publishing findings in top-tier conferences and journals, and collaborating with a global team of researchers and engineers. Key responsibilities include developing novel algorithms, building scalable AI systems, conducting rigorous experimentation, and translating research outcomes into practical applications. You will be expected to mentor junior researchers, contribute to the intellectual property portfolio, and actively participate in shaping the future direction of AI development within the organization. This role requires exceptional analytical skills, a deep understanding of mathematical principles underpinning AI, and proficiency in programming languages such as Python, R, and relevant AI frameworks (TensorFlow, PyTorch). The ability to communicate complex technical concepts clearly and concisely to both technical and non-technical audiences is essential. As a remote-first role, strong self-motivation, excellent time management, and proactive collaboration skills are paramount.
Key Responsibilities:
Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence, machine learning, and deep learning.
- Design, develop, and implement novel AI algorithms and models.
- Stay current with the latest advancements and publications in AI research.
- Collaborate with engineers to deploy AI models into production systems.
- Analyze large datasets to extract insights and inform model development.
- Conduct rigorous experimentation and validation of AI solutions.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and contribute to team knowledge sharing.
- Contribute to patent applications and intellectual property development.
- Present research findings to technical and non-technical stakeholders.
- Identify and explore new research opportunities and potential applications of AI.
- Drive innovation and contribute to the strategic direction of AI research.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in AI, ML, or DL, with a strong publication record.
- Deep understanding of machine learning theory, deep learning architectures, and statistical modeling.
- Proficiency in Python, R, and AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large-scale data processing and distributed computing frameworks.
- Proven ability to design and conduct complex experiments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a remote team environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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7
Principal Research Scientist - Data Science & AI
Posted 3 days ago
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Job Description
Our client is actively seeking a Principal Research Scientist with a strong specialization in Data Science and Artificial Intelligence to lead cutting-edge research initiatives. This is a fully remote, highly influential position within a forward-thinking organization. You will be responsible for defining research agendas, developing novel algorithms and models, and driving the application of AI and machine learning techniques to solve complex problems. The ideal candidate possesses a deep theoretical understanding of AI/ML, extensive practical experience, a history of innovation, and a passion for pushing the boundaries of scientific discovery.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Define and execute a research strategy focused on advanced data science and artificial intelligence methodologies.
- Develop, implement, and validate sophisticated machine learning models, deep learning architectures, and AI algorithms.
- Conduct in-depth data analysis, feature engineering, and model training on large, complex datasets.
- Lead the research and development of novel AI solutions for diverse applications.
- Mentor and guide a team of data scientists and research engineers, fostering a culture of innovation and scientific excellence.
- Stay abreast of the latest advancements in AI, machine learning, statistical modeling, and related fields.
- Publish research findings in top-tier conferences and journals, and contribute to patent applications.
- Collaborate with cross-functional teams to translate research insights into practical, scalable solutions.
- Evaluate and select appropriate tools, technologies, and frameworks for research projects.
- Present complex technical concepts and research outcomes to both technical and executive audiences.
- Ensure the ethical considerations and potential biases of AI models are addressed.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 8 years of research experience in Data Science and AI, with a proven track record of impactful contributions.
- Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning frameworks (e.g., TensorFlow, PyTorch), and natural language processing.
- Proficiency in programming languages such as Python, R, and experience with big data technologies (e.g., Spark, Hadoop).
- Strong mathematical and statistical background.
- Demonstrated experience in leading research projects and mentoring junior scientists.
- Excellent publication record in leading AI/ML venues.
- Exceptional problem-solving, analytical, and critical thinking skills.
- Outstanding communication, presentation, and interpersonal skills, vital for effective remote collaboration.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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8
Principal AI Scientist - Deep Learning
Posted 4 days ago
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Job Description
Our client is seeking a highly accomplished Principal AI Scientist with deep expertise in deep learning to lead their groundbreaking research and development efforts. This is a fully remote position, allowing you to work with a world-class team from anywhere in the globe. You will be at the forefront of innovation, driving the development of cutting-edge AI models and solutions that solve complex real-world problems. The ideal candidate will have a proven track record of developing and deploying advanced deep learning algorithms, a strong understanding of machine learning principles, and a passion for pushing the boundaries of artificial intelligence. Responsibilities include leading research initiatives, designing and implementing novel deep learning architectures, conducting experiments, analyzing results, and contributing to the publication of research findings. You will collaborate closely with data scientists, software engineers, and domain experts to translate research into impactful products and services. A deep understanding of various deep learning frameworks (e.g., TensorFlow, PyTorch), natural language processing, computer vision, and reinforcement learning is highly desirable. This role demands exceptional analytical skills, creativity, and the ability to mentor and guide other members of the AI team. As a Principal AI Scientist, you will play a critical role in setting the technical direction for AI at our client and shaping the future of intelligent systems. Key responsibilities include:
- Leading advanced research in deep learning and related AI fields.
- Designing, developing, and implementing novel deep learning models and algorithms.
- Conducting rigorous experimentation and evaluation of AI models.
- Translating research breakthroughs into practical applications and product features.
- Collaborating with cross-functional teams to integrate AI solutions into existing products and platforms.
- Mentoring and guiding junior AI scientists and engineers.
- Staying abreast of the latest advancements in AI research and applying them to our challenges.
- Contributing to research publications, patents, and conference presentations.
- Defining technical strategy and roadmap for AI initiatives.
- Ensuring the ethical and responsible development and deployment of AI systems.
- Optimizing model performance and scalability for production environments.
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