2,480 AI Researcher jobs in Kenya
Principal Research Scientist - AI
Posted 5 days ago
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Job Description
Our client is at the cutting edge of innovation and is seeking an exceptional Principal Research Scientist in Artificial Intelligence to join their fully remote R&D team. In this senior role, you will be instrumental in driving foundational research and developing next-generation AI technologies. You will explore novel algorithms, conduct rigorous experimentation, and publish findings in top-tier academic venues. This position requires a deep theoretical understanding of AI/ML principles, a proven track record of impactful research, and the ability to work independently and collaboratively in a distributed environment. You will contribute to shaping the future of AI, working on complex challenges that have the potential to redefine industries. As a fully remote role, you will benefit from unparalleled flexibility while contributing to groundbreaking work. We are looking for pioneers who are passionate about pushing the boundaries of what's possible in AI.
Key Responsibilities:
Key Responsibilities:
- Conduct high-impact research in key areas of Artificial Intelligence, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Design and implement novel algorithms and models, and conduct rigorous empirical evaluations.
- Collaborate with other researchers and engineers to translate research findings into practical applications and prototypes.
- Publish research results in leading AI conferences and journals.
- Mentor junior researchers and contribute to the intellectual growth of the team.
- Stay abreast of the latest advancements in AI and related fields, identifying emerging trends and opportunities.
- Contribute to the strategic direction of AI research within the organization.
- Present research findings internally and externally to technical and non-technical audiences.
- Develop and maintain high-quality code for research experiments and prototypes.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Minimum of 8 years of post-doctoral research experience in AI/ML, with a strong publication record in top-tier venues.
- Deep theoretical understanding of machine learning, statistical modeling, and algorithms.
- Expertise in at least one major area of AI (e.g., NLP, Computer Vision, Reinforcement Learning).
- Proficiency in programming languages such as Python, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data analysis and distributed computing is highly desirable.
- Strong analytical and problem-solving skills, with a creative approach to research challenges.
- Excellent communication, presentation, and interpersonal skills.
- Demonstrated ability to lead research projects and work effectively in a remote, collaborative team environment.
- A passion for innovation and a drive to make significant contributions to the field of AI.
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Junior Data Scientist - Machine Learning
Posted 19 days ago
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Job Description
Our client is seeking ambitious and bright Junior Data Scientists to join their cutting-edge, fully remote team. This is an exceptional opportunity for recent graduates or individuals early in their data science careers to gain hands-on experience with real-world data and advanced machine learning techniques. As a remote-first organization, we provide a collaborative and supportive environment where you can learn from experienced professionals and contribute to impactful projects. You will work closely with senior data scientists and engineers, developing predictive models, analyzing complex datasets, and uncovering valuable insights. This internship is designed to accelerate your professional growth in the exciting field of data science and artificial intelligence.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development, training, and evaluation of machine learning models.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Collaborate with senior data scientists on feature engineering and model selection.
- Help in visualizing data and model results for clear communication.
- Participate in code reviews and contribute to the development of robust data pipelines.
- Learn and apply statistical methods and machine learning algorithms.
- Assist in documenting project methodologies, findings, and model performance.
- Stay updated on emerging trends and techniques in data science and machine learning.
- Contribute to team discussions and problem-solving sessions.
- Gain practical experience with cloud platforms and big data technologies.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Basic understanding of SQL and database querying.
- Familiarity with data visualization tools and techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Eagerness to learn and adapt in a fast-paced, remote environment.
- Ability to work independently and manage time effectively.
- Prior project experience or internships in data analysis or machine learning is a plus.
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Junior Data Scientist, AI Research
Posted 12 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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Principal Research Scientist - AI in Genomics
Posted 19 days ago
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Job Description
Our client is seeking a visionary and highly accomplished Principal Research Scientist to lead groundbreaking research at the intersection of Artificial Intelligence and Genomics. This is a premier, fully remote opportunity for an individual with a distinguished track record in computational biology, bioinformatics, and advanced machine learning techniques. You will spearhead novel research projects, developing and applying AI models to unlock new insights from complex genomic datasets. Your responsibilities will include designing innovative analytical frameworks, developing predictive models for disease risk, drug discovery, and personalized medicine, and publishing your findings in top-tier scientific journals. You will guide a team of talented researchers, mentor junior scientists, and collaborate with external academic and industry partners. The ideal candidate will possess deep expertise in genomics, transcriptomics, epigenomics, and other high-throughput sequencing data. A strong command of machine learning algorithms, statistical modeling, and programming languages (Python, R) is essential. Proven experience in developing and deploying AI solutions for biological problems is critical. You will be expected to define research directions, secure funding through grant applications, and represent the client at leading scientific conferences. This role requires exceptional scientific rigor, creativity, strategic thinking, and the ability to thrive in a highly collaborative, remote research environment. The ability to translate complex scientific concepts into actionable strategies and communicate them effectively to diverse audiences, including non-experts, is paramount. We are looking for a true pioneer who can shape the future of genomic research through the power of AI.
Responsibilities:
Responsibilities:
- Lead and conduct cutting-edge research in AI applied to genomics and related biological fields.
- Develop and implement novel machine learning algorithms and statistical models for analyzing large-scale genomic datasets.
- Design and execute experiments, interpret results, and translate findings into biological insights and actionable strategies.
- Spearhead the development of predictive models for disease genomics, drug discovery, and personalized therapeutics.
- Publish research findings in high-impact peer-reviewed journals and present at international conferences.
- Mentor and guide a team of research scientists and bioinformaticians.
- Collaborate with internal teams and external academic/industry partners to drive research initiatives.
- Identify and pursue new research opportunities and funding avenues (e.g., grants).
- Contribute to the strategic direction of the company's research and development efforts.
- Stay abreast of the latest advancements in AI, machine learning, genomics, and computational biology.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science (with AI/ML focus), Genetics, or a related quantitative field.
- 10+ years of post-doctoral research experience in genomics, bioinformatics, and AI/ML.
- Demonstrated expertise in applying machine learning and deep learning techniques to biological data.
- Strong understanding of human genetics, molecular biology, and genomics data analysis pipelines.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, scikit-learn) and R.
- Experience with high-performance computing environments and cloud platforms.
- Proven track record of impactful publications and presentations in the field.
- Excellent leadership, communication, and interpersonal skills for effective remote collaboration.
- Experience in grant writing is a significant advantage.
- Strategic thinker with a passion for scientific discovery.
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Lead Data Scientist - AI Research
Posted 19 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 19 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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5
AI Research Scientist (Computer Vision)
Posted 19 days ago
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Job Description
Our client, a cutting-edge AI research lab, is seeking a visionary AI Research Scientist specializing in Computer Vision to join their globally distributed, remote-first team. This role is at the forefront of innovation, driving advancements in artificial intelligence and machine learning to solve complex real-world problems. You will be responsible for conceptualizing, designing, and implementing novel algorithms and models for image recognition, object detection, segmentation, and video analysis. Your work will involve extensive experimentation, data analysis, and performance evaluation, pushing the boundaries of current AI capabilities. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a closely related field, with a strong publication record in top-tier AI conferences and journals. Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras is required, along with a solid understanding of computer vision libraries like OpenCV. You will have hands-on experience with large-scale datasets and distributed training environments. This position requires exceptional analytical and problem-solving skills, the ability to think creatively, and a passion for scientific discovery. You will collaborate with a team of world-class researchers and engineers, contributing to high-impact projects with potential applications in various industries. The ability to articulate complex technical concepts clearly, both in writing and verbally, is essential. As a fully remote role, you must be a proactive, self-disciplined individual capable of working effectively with minimal supervision and thriving in an asynchronous communication environment. We are looking for someone who is driven by curiosity and a desire to make significant contributions to the field of artificial intelligence.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in computer vision and deep learning.
- Develop and implement novel algorithms and models for image and video analysis.
- Design and execute experiments, analyze results, and document findings.
- Collaborate with a team of researchers and engineers on challenging AI projects.
- Publish research findings in leading academic conferences and journals.
- Stay abreast of the latest advancements in AI and computer vision.
- Contribute to the development of AI products and solutions.
- Optimize model performance and efficiency for real-world applications.
- Work with large datasets and utilize distributed computing resources.
- Mentor junior researchers and interns.
- Ph.D. or Master's degree in Computer Science, AI, or a related field with a specialization in Computer Vision.
- Proven track record of research publications in top AI venues.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong programming skills in Python.
- Proficiency with computer vision libraries (OpenCV).
- Experience with data preprocessing, model training, and evaluation.
- Solid understanding of mathematical concepts underlying machine learning and computer vision.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, adapted for a remote environment.
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Principal Research Scientist - AI in Drug Discovery
Posted 14 days ago
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Job Description
Our client is seeking a world-class Principal Research Scientist to spearhead the application of Artificial Intelligence and Machine Learning in drug discovery. This is a fully remote, high-impact role that requires a deep expertise in computational biology, cheminformatics, and advanced AI methodologies. The successful candidate will lead innovative research projects focused on identifying novel drug targets, optimizing lead compounds, and predicting drug efficacy and toxicity using cutting-edge AI models. You will collaborate with a multidisciplinary team of biologists, chemists, and data scientists to accelerate the drug development pipeline. This position offers the opportunity to define the future of pharmaceutical research through intelligent systems.
Responsibilities:
Responsibilities:
- Lead the design and execution of AI/ML-driven research programs for drug discovery and development.
- Develop and apply advanced machine learning algorithms (e.g., deep learning, reinforcement learning) to analyze complex biological and chemical data.
- Identify and validate novel drug targets and therapeutic strategies through in-silico methods.
- Build predictive models for compound screening, property prediction, and ADMET profiling.
- Collaborate with computational chemists and biologists to integrate AI insights into experimental workflows.
- Stay at the forefront of AI research and its applications in the pharmaceutical industry, identifying emerging technologies and methodologies.
- Publish research findings in top-tier scientific journals and present at international conferences.
- Mentor and guide junior scientists and postdoctoral fellows in AI/ML research.
- Contribute to intellectual property generation and patent applications.
- Ensure robust data management, reproducibility, and documentation of research projects.
- Ph.D. in Computer Science, Computational Biology, Cheminformatics, Bioinformatics, or a related quantitative field.
- A minimum of 10 years of post-doctoral research experience, with a significant focus on AI/ML applications in drug discovery or life sciences.
- Proven track record of groundbreaking research, evidenced by high-impact publications and citations.
- Expertise in a wide range of AI/ML techniques, including deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python and experience with relevant scientific libraries (e.g., scikit-learn, RDKit, OpenBabel).
- Proficiency in analyzing large-scale biological datasets (genomics, proteomics, transcriptomics) and chemical structures.
- Excellent understanding of drug discovery processes and relevant biological pathways.
- Exceptional problem-solving, analytical, and critical thinking abilities.
- Demonstrated leadership in guiding research projects and mentoring talent.
- Outstanding written and verbal communication skills.
- This is a fully remote position, supporting scientific initiatives for **Machakos, Machakos, KE**, and global research centers.
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7
AI Research Scientist - Machine Learning
Posted 19 days ago
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Job Description
Our client, a cutting-edge AI and Emerging Technologies firm, is seeking an exceptionally talented AI Research Scientist specializing in Machine Learning. This role offers a Hybrid work arrangement, combining the benefits of remote flexibility with in-office collaboration. You will be at the forefront of developing novel AI algorithms and solutions that push the boundaries of what's possible. Your responsibilities will include designing, implementing, and evaluating advanced machine learning models for diverse applications. This role demands a strong theoretical foundation in AI and ML, coupled with practical experience in translating research into tangible products. You will work on cutting-edge projects, analyze complex datasets, and contribute to high-impact research publications and patents. The ability to identify critical research questions, experiment with novel approaches, and effectively communicate complex technical concepts to both technical and non-technical audiences is paramount. We are seeking a highly innovative and driven individual with a passion for artificial intelligence and a proven track record in machine learning research. The ideal candidate possesses excellent programming skills, a deep understanding of deep learning frameworks, and a collaborative spirit. This is a unique opportunity to contribute to transformative technologies within a dynamic and forward-thinking organization.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence
- Develop, implement, and optimize novel ML algorithms and deep learning models
- Analyze large and complex datasets to extract meaningful insights and drive model performance
- Design and execute experiments to validate research hypotheses
- Collaborate with cross-functional teams to integrate AI solutions into products and services
- Publish research findings in top-tier conferences and journals
- Develop and maintain robust, scalable, and efficient AI systems
- Stay abreast of the latest advancements in AI/ML research and industry trends
- Contribute to intellectual property development, including patents and white papers
- Mentor junior researchers and interns
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
- Minimum of 5 years of research experience in machine learning or AI
- Strong theoretical foundation in statistical modeling, deep learning, and reinforcement learning
- Proficiency in programming languages such as Python, Java, or C++
- Extensive experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Keras)
- Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP)
- Proven track record of publications in leading AI conferences and journals
- Excellent analytical, problem-solving, and critical thinking skills
- Strong communication and presentation skills, with the ability to explain complex concepts clearly
- Ability to work both independently and collaboratively in a team-oriented environment
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8
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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