2,521 Senior Data Scientist Machine Learning Engineering jobs in Kenya
Principal AI Research Engineer - Computer Vision
Posted 5 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking an exceptional Principal AI Research Engineer specializing in Computer Vision. This is a fully remote, high-impact role where you will drive the development of next-generation AI solutions. You will lead research initiatives, design novel algorithms, and implement state-of-the-art computer vision models for complex challenges. Responsibilities include conceptualizing and executing research projects, developing and optimizing deep learning architectures for image and video analysis, and pushing the boundaries of AI capabilities. You will be instrumental in translating cutting-edge research into practical, deployable AI systems. Collaboration with cross-functional teams, including software engineers, product managers, and other researchers, is essential. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record in top-tier AI conferences or journals. Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, and proficiency in languages like Python are mandatory. You should have a deep understanding of various computer vision tasks, including object detection, image segmentation, tracking, and 3D reconstruction. Experience leading research projects and mentoring junior engineers is highly desirable. This role requires a curious mind, exceptional problem-solving skills, and the ability to work independently and creatively in a remote setting. You will be expected to stay abreast of the latest advancements in AI and computer vision and contribute to the company's intellectual property through innovation and patents. This is a unique opportunity to shape the future of AI and make a significant contribution to the field, working remotely to support our client's pioneering efforts in Mlolongo, Machakos, KE and globally.
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Graduate Data Scientist - Machine Learning Research
Posted 20 days ago
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Job Description
Our client is offering an exceptional opportunity for ambitious and bright graduates to join their team as Graduate Data Scientists, focusing on cutting-edge Machine Learning research. This is a fully remote internship, providing a unique chance to gain practical experience and contribute to real-world projects in a dynamic, forward-thinking environment. You will be working alongside experienced data scientists and researchers, learning and applying advanced machine learning techniques to solve complex business problems. Your responsibilities will include data collection, cleaning, and preprocessing; developing, training, and evaluating machine learning models; and assisting in the interpretation of results and the preparation of technical reports. You will have the opportunity to explore various ML algorithms, experiment with different datasets, and contribute to the innovation pipeline. The ideal candidate will have a strong academic background with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Demonstrable proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) are essential. Familiarity with SQL and data manipulation techniques is also required. We are looking for individuals who are highly analytical, possess strong problem-solving skills, and have a genuine passion for data and artificial intelligence. Excellent communication skills and the ability to work effectively in a collaborative, remote team setting are crucial. A proactive attitude and a desire to learn and grow are highly valued. This internship is fully remote, requiring you to have a reliable internet connection and a conducive workspace. Our client is committed to providing a supportive and engaging virtual internship experience, offering mentorship and opportunities for professional development. This is an excellent stepping stone for a career in data science and machine learning. This program is conceptually located near **Kericho, Kericho, KE**, but is fully remote.
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Principal Data Scientist, Machine Learning Research
Posted 10 days ago
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Job Description
Our client is seeking an exceptional Principal Data Scientist to lead groundbreaking research and development in machine learning. This is a fully remote role offering the opportunity to work on cutting-edge problems and contribute to significant advancements in artificial intelligence. You will be responsible for designing, developing, and deploying sophisticated machine learning models, analyzing complex datasets, and driving innovation in predictive analytics and data-driven decision-making. This role demands a deep theoretical understanding of ML algorithms, statistical modeling, and a proven ability to translate research into practical, scalable solutions. You will collaborate with a world-class team of researchers and engineers to push the boundaries of what's possible. Key responsibilities include:
- Leading the design, development, and implementation of advanced machine learning models and algorithms.
- Conducting in-depth data analysis, feature engineering, and model evaluation on large, complex datasets.
- Researching and exploring new ML techniques and technologies to solve challenging business problems.
- Developing and deploying robust, scalable ML solutions into production environments.
- Mentoring junior data scientists and contributing to the growth of the data science team.
- Collaborating with cross-functional teams to understand business needs and translate them into data science projects.
- Communicating complex findings and model insights to technical and non-technical stakeholders.
- Staying abreast of the latest advancements in machine learning, AI, and related fields.
- Designing and executing experiments to validate hypotheses and improve model performance.
- Developing and maintaining clear documentation for models, code, and methodologies.
- Contributing to the company's intellectual property through publications and patents.
- Ensuring the ethical and responsible development and deployment of AI systems.
- Building and maintaining data pipelines for model training and inference.
- Proactively identifying opportunities for leveraging data science to drive business value.
- Championing data-driven approaches throughout the organization.
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Senior AI Research Engineer (Computer Vision)
Posted 18 days ago
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Job Description
Our client, a cutting-edge AI research lab, is seeking a brilliant Senior AI Research Engineer specializing in Computer Vision to join their innovative team. This role offers a Hybrid work arrangement, combining the benefits of remote flexibility with essential in-person collaboration. You will be at the forefront of developing next-generation computer vision algorithms and models, pushing the boundaries of what's possible in artificial intelligence. Your responsibilities will span the entire research lifecycle, from conceptualization and algorithm design to implementation, testing, and deployment. We are looking for individuals with a deep theoretical understanding and practical experience in areas such as object detection, image segmentation, facial recognition, and 3D vision. Your work will contribute to groundbreaking applications in various industries.
Key Responsibilities:
Qualifications:
This Hybrid role is based in Nakuru, Nakuru, KE . Candidates are expected to be available for team collaboration sessions both remotely and in the office. If you are a passionate AI researcher ready to make a significant impact, we encourage you to apply.
Key Responsibilities:
- Research, design, develop, and implement advanced computer vision algorithms and deep learning models.
- Focus on areas including object detection, image classification, segmentation, tracking, and generative models.
- Collaborate with cross-functional teams to integrate AI solutions into real-world applications.
- Conduct rigorous testing and validation of models, ensuring accuracy, robustness, and scalability.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research.
- Publish research findings in top-tier conferences and journals.
- Optimize model performance for deployment on various platforms, including edge devices.
- Develop and maintain high-quality code in Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch).
- Contribute to the intellectual property portfolio through patent applications.
- Mentor junior engineers and contribute to a culture of innovation and knowledge sharing.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, AI, or a related field with a specialization in Computer Vision.
- Minimum of 5 years of experience in AI research and development, with a strong focus on computer vision.
- Proven track record of publishing in leading AI/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python, C++, and experience with relevant libraries (e.g., OpenCV, scikit-image).
- Solid understanding of linear algebra, calculus, probability, and statistics.
- Experience with large-scale datasets and distributed training is highly desirable.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong communication and collaboration abilities, comfortable working in both remote and in-office settings.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
This Hybrid role is based in Nakuru, Nakuru, KE . Candidates are expected to be available for team collaboration sessions both remotely and in the office. If you are a passionate AI researcher ready to make a significant impact, we encourage you to apply.
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Remote Senior Data Scientist - Machine Learning Research
Posted 20 days ago
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Job Description
Our client is seeking a highly skilled and innovative Remote Senior Data Scientist to lead advanced machine learning research and development initiatives. This role requires a deep expertise in statistical modeling, algorithm development, and data analysis, enabling the creation of cutting-edge predictive and prescriptive solutions. The ideal candidate will possess a strong academic background, hands-on experience with large-scale datasets, and a passion for pushing the boundaries of artificial intelligence and machine learning, all within a fully remote setting.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement sophisticated machine learning models and algorithms to solve complex business problems.
- Conduct exploratory data analysis to identify patterns, trends, and insights from large and complex datasets.
- Perform feature engineering, model selection, training, validation, and hyperparameter tuning.
- Develop predictive and prescriptive models for applications such as forecasting, anomaly detection, recommendation systems, and natural language processing.
- Evaluate model performance, interpret results, and communicate findings clearly to technical and non-technical stakeholders.
- Collaborate with software engineers to deploy machine learning models into production environments.
- Stay abreast of the latest research and advancements in machine learning, AI, and related fields.
- Design and conduct experiments to test hypotheses and validate model effectiveness.
- Develop and maintain robust data pipelines for model training and inference.
- Mentor junior data scientists and contribute to the team's technical growth.
- Ensure data quality, integrity, and privacy throughout the data science lifecycle.
- Write clean, well-documented, and reproducible code, primarily in Python or R.
- Contribute to the development of intellectual property through research and innovation.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field with a focus on Machine Learning.
- Proven track record of conducting cutting-edge research and developing impactful machine learning models.
- Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong programming skills in Python or R, including experience with data manipulation libraries (e.g., Pandas, NumPy).
- Proficiency in SQL and experience working with various database systems.
- Deep understanding of statistical concepts, algorithms, and their practical application.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior communication and presentation skills, capable of explaining complex technical concepts to diverse audiences remotely.
- Ability to work independently, manage projects, and drive research initiatives from conception to completion.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for machine learning is beneficial.
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AI/ML Research Scientist (Computer Vision)
Posted 19 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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Junior Data Scientist, AI Research
Posted 13 days ago
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Job Description
Our client is actively seeking a bright and ambitious Junior Data Scientist to join their cutting-edge Artificial Intelligence research team. This is a fully remote internship opportunity, providing invaluable hands-on experience in applying machine learning and deep learning techniques to solve complex real-world problems. You will work alongside experienced researchers and data scientists, contributing to the development of innovative AI models and algorithms. The ideal candidate possesses a strong academic background in a quantitative field, foundational knowledge of data science principles, and a genuine passion for AI and machine learning.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets for AI model training.
- Implement and test various machine learning and deep learning algorithms under guidance.
- Conduct exploratory data analysis to identify patterns and insights.
- Support the development and evaluation of predictive models.
- Collaborate with senior team members on research projects and experimental design.
- Document research findings, methodologies, and code.
- Contribute to the ongoing improvement of data pipelines and analytical tools.
- Stay updated on the latest advancements and research in AI and machine learning.
- Participate in team meetings and contribute to discussions on project progress and challenges.
- Assist in the visualization of data and model results.
- Help troubleshoot and debug code and model performance issues.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
- Foundational understanding of statistical modeling, machine learning, and deep learning concepts.
- Proficiency in programming languages commonly used in data science, such as Python.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and collaboratively in a remote environment.
- A demonstrable passion for artificial intelligence and its applications.
- Prior project experience or coursework in data science or machine learning is a plus.
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6
Graduate Data Scientist - AI Research
Posted today
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Job Description
Embark on an exciting journey as a Graduate Data Scientist specializing in AI Research! This is a fully remote internship opportunity, perfect for ambitious individuals eager to contribute to groundbreaking advancements from their home office. You will be an integral part of our innovative research team, focusing on developing and implementing novel machine learning algorithms and artificial intelligence models. Your primary responsibilities will include data collection, preprocessing, and analysis; building and training predictive models; evaluating model performance; and collaborating with senior researchers on cutting-edge projects. We are particularly interested in candidates with a strong foundation in statistical modeling, machine learning techniques (e.g., deep learning, natural language processing, computer vision), and programming languages like Python or R. Experience with AI frameworks such as TensorFlow or PyTorch is a significant plus. You will have the opportunity to work with large datasets, explore complex problems, and contribute to research papers and publications. This role demands a curious mind, a passion for problem-solving, and a desire to push the boundaries of AI. Excellent communication skills are essential, as you will be collaborating with a globally distributed team. We encourage applicants who are currently pursuing or have recently completed a Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. This internship offers invaluable hands-on experience in a high-impact research environment, providing a fantastic launchpad for your career in AI and data science. The opportunity to contribute to real-world AI challenges remotely makes this position in **Kakamega, Kenya**, uniquely appealing.
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7
Lead Data Scientist - AI Research
Posted 20 days ago
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Job Description
Our client, a cutting-edge research and development firm, is seeking a brilliant and innovative Lead Data Scientist specializing in Artificial Intelligence to join their fully remote research team. This role offers an exceptional opportunity to lead groundbreaking research initiatives, develop advanced AI models, and contribute to the future of technological innovation from anywhere in the world. You will be at the forefront of exploring and implementing novel AI algorithms and machine learning techniques.
Key responsibilities include leading research projects from conception to implementation, mentoring junior data scientists, and collaborating with cross-functional teams to translate research findings into actionable insights and product features. You will be responsible for designing experiments, developing predictive models, and analyzing large, complex datasets to uncover patterns and drive strategic decisions. Staying abreast of the latest advancements in AI, machine learning, deep learning, and related fields is critical.
The ideal candidate will possess a PhD or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, with a strong focus on AI and machine learning. Proven experience in leading research projects, publishing scientific papers, and developing complex AI models is essential. Proficiency in programming languages like Python or R, along with extensive experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is mandatory. Exceptional analytical, problem-solving, and communication skills are required for effective remote collaboration and knowledge sharing.
Responsibilities:
Key responsibilities include leading research projects from conception to implementation, mentoring junior data scientists, and collaborating with cross-functional teams to translate research findings into actionable insights and product features. You will be responsible for designing experiments, developing predictive models, and analyzing large, complex datasets to uncover patterns and drive strategic decisions. Staying abreast of the latest advancements in AI, machine learning, deep learning, and related fields is critical.
The ideal candidate will possess a PhD or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, with a strong focus on AI and machine learning. Proven experience in leading research projects, publishing scientific papers, and developing complex AI models is essential. Proficiency in programming languages like Python or R, along with extensive experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is mandatory. Exceptional analytical, problem-solving, and communication skills are required for effective remote collaboration and knowledge sharing.
Responsibilities:
- Lead AI research projects, defining objectives and methodologies.
- Develop and implement advanced machine learning and deep learning models.
- Analyze large, complex datasets to extract meaningful insights.
- Design and conduct experiments to validate AI hypotheses.
- Mentor and guide junior data scientists and researchers.
- Collaborate with engineering teams to integrate AI models into products.
- Publish research findings in reputable journals and present at conferences.
- Stay current with the latest AI and ML research trends and technologies.
- Contribute to the strategic direction of the company's AI initiatives.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related quantitative field.
- Minimum of 7 years of experience in data science, with a significant focus on AI/ML research.
- Demonstrated experience in leading research projects and publishing academic work.
- Expertise in programming languages such as Python or R.
- Proficiency with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
- Strong understanding of statistical modeling, algorithms, and data mining techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills for remote collaboration and technical documentation.
- Proven ability to work independently and manage complex research initiatives.
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Junior Data Scientist & AI Research Intern
Posted 20 days ago
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Job Description
Our client is looking for an enthusiastic and highly motivated Junior Data Scientist & AI Research Intern to join their innovative, fully remote team. This internship provides an exceptional opportunity for recent graduates or current students to gain hands-on experience in the fields of data science and artificial intelligence. You will be involved in various projects, assisting senior researchers and data scientists in collecting, cleaning, and analyzing large datasets. Your responsibilities will include supporting the development and testing of machine learning models, contributing to data visualization efforts, and documenting research findings. You will learn to apply statistical methods and algorithms to extract meaningful insights from data and assist in the implementation of AI solutions. This role requires a strong foundation in mathematics, statistics, and programming (preferably Python or R). Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn) and AI concepts is a significant advantage. You must possess excellent analytical and problem-solving skills, a keen attention to detail, and a strong desire to learn. As a remote intern, you will need to demonstrate self-discipline, effective time management, and strong communication skills to collaborate effectively with your remote colleagues. You will participate in virtual team meetings, present your work, and receive mentorship from experienced professionals. This internship is designed to provide a comprehensive learning experience, exposing you to real-world data challenges and cutting-edge AI technologies. We are seeking individuals who are passionate about technology, eager to contribute to impactful projects, and ready to grow their skills in a supportive, remote environment. This is a fantastic stepping stone for a career in data science or AI, offering practical experience and exposure to industry best practices. This position is ideal for those looking to apply their academic knowledge in a practical, forward-thinking setting. The internship is based inOngata Rongai, Kajiado, KE but operates entirely remotely.
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