269 Senior AI Research Engineer Machine Learning jobs in Kenya
Senior Data Scientist - Machine Learning Engineering
Posted 18 days ago
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Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms for various business applications.
- Build and maintain scalable, production-ready MLOps pipelines for model training, deployment, monitoring, and retraining.
- Collaborate with data engineers to ensure data quality, accessibility, and efficient processing for ML workflows.
- Optimize machine learning models for performance, accuracy, and resource utilization in cloud environments (e.g., AWS SageMaker, Azure ML, GCP AI Platform).
- Conduct rigorous experimentation and A/B testing to evaluate model effectiveness and identify areas for improvement.
- Stay abreast of the latest research and advancements in machine learning, deep learning, and AI, and apply them to solve business problems.
- Translate complex business requirements into technical specifications for ML solutions.
- Mentor junior data scientists and ML engineers, fostering a collaborative and knowledge-sharing environment.
- Effectively communicate complex technical findings and recommendations to both technical and non-technical stakeholders.
- Ensure the ethical development and deployment of AI systems, considering fairness, transparency, and bias mitigation.
- Contribute to the overall data science strategy and roadmap of the organization.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science, with a significant focus on machine learning engineering and productionalization.
- Proven track record of developing and deploying machine learning models in production environments.
- Strong proficiency in programming languages such as Python (with libraries like scikit-learn, TensorFlow, PyTorch, Pandas).
- Extensive experience with cloud platforms and their ML services (e.g., AWS, Azure, GCP).
- Deep understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, CI/CD).
- Excellent analytical, statistical, and problem-solving skills.
- Strong communication and collaboration abilities, with the capacity to work effectively in a remote team setting.
- Experience with big data technologies (e.g., Spark) is a plus.
AI/ML Research Scientist (Computer Vision)
Posted 18 days ago
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Job Description
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.
Principal AI Research Engineer - Computer Vision
Posted 4 days ago
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Senior AI/ML Research Scientist (Computer Vision)
Posted 20 days ago
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Job Description
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.
Remote AI/ML Research Scientist (Computer Vision)
Posted 11 days ago
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Job Description
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.
Senior AI/ML Research Scientist - Computer Vision, Remote
Posted 17 days ago
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Job Description
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.
AI Research Scientist - Computer Vision
Posted 20 days ago
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Job Description
Responsibilities:
- Conduct in-depth research into state-of-the-art computer vision techniques, including object detection, image segmentation, facial recognition, and 3D vision.
- Design, implement, and train deep learning models for complex computer vision tasks.
- Develop and prototype new algorithms and approaches to solve challenging visual perception problems.
- Collaborate with a team of researchers and engineers to integrate AI models into real-world applications and products.
- Stay updated with the latest academic research and industry trends in AI and computer vision.
- Publish research findings in leading conferences and journals.
- Contribute to the development of proprietary AI technologies and intellectual property.
- Analyze and interpret experimental results, providing insights and recommendations for further development.
- Mentor junior researchers and engineers on computer vision topics.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field with a specialization in Computer Vision.
- Proven track record of research and development in computer vision, demonstrated through publications or project portfolios.
- Strong theoretical understanding and practical experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, C++, and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with large-scale datasets and distributed training environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- A genuine passion for AI and a drive to innovate.
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Lead AI Research Scientist - Deep Learning
Posted 20 days ago
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Lead AI Research Scientist - Computer Vision
Posted 20 days ago
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Principal AI Research Scientist - Deep Learning
Posted 20 days ago
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