1,063 AI Research Intern jobs in Kenya
Graduate Analyst - Data Science
Posted 22 days ago
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Job Description
Our client is looking for ambitious and bright individuals to join their prestigious Graduate Analyst program focused on Data Science, operating entirely remotely. This internship provides an exceptional opportunity for recent graduates to immerse themselves in the world of data analytics, machine learning, and business intelligence. You will work alongside experienced data scientists, contributing to real-world projects, gaining hands-on experience with cutting-edge tools and techniques, and developing a strong foundation in data-driven decision-making. Responsibilities include data cleaning and preparation, exploratory data analysis, assisting in the development of predictive models, and visualizing data to communicate insights. This is a fully remote position, allowing you to learn and grow from anywhere. We are seeking candidates with a strong quantitative aptitude and a passion for uncovering insights from data.
Key Responsibilities:
Qualifications:
This internship is based in Embu, Embu, KE , but is a fully remote position.
Key Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Support the development and testing of machine learning models and algorithms under supervision.
- Create compelling data visualizations and dashboards to communicate findings to stakeholders.
- Contribute to the documentation of data processes, methodologies, and code.
- Collaborate with senior data scientists and analysts on ongoing projects.
- Learn and apply statistical concepts and data mining techniques.
- Participate in team meetings and contribute ideas for data-driven solutions.
- Assist in preparing reports and presentations summarizing analytical results.
- Develop proficiency in data analysis tools and programming languages relevant to data science.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical techniques.
- Basic knowledge of programming languages commonly used in data science (e.g., Python, R).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and ability to work with large datasets.
- Good communication and interpersonal skills, with the ability to work effectively in a remote team.
- Eagerness to learn and a proactive attitude.
- Ability to manage tasks and time effectively.
- Passion for data and uncovering insights.
This internship is based in Embu, Embu, KE , but is a fully remote position.
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Graduate Analyst - Data Science (Remote)
Posted 6 days ago
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Job Description
Our client is offering an exciting opportunity for ambitious and bright Graduates to join their cutting-edge Data Science team as Graduate Analysts, working remotely. This internship is designed for individuals passionate about leveraging data to drive insights and innovation, with a focus on projects relevant to **Nyeri, Nyeri, KE**, and national-level data challenges. You will work closely with experienced data scientists, gaining hands-on experience in data cleaning, analysis, visualization, and model development. The ideal candidate will possess a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. Proficiency in programming languages like Python or R, and familiarity with data analysis libraries (e.g., Pandas, NumPy, Scikit-learn) are essential. You should have a solid understanding of statistical concepts and machine learning algorithms. Responsibilities include assisting with data collection and preparation, performing exploratory data analysis, contributing to the development of predictive models, and generating reports and presentations to communicate findings. We are looking for curious, detail-oriented individuals with excellent problem-solving abilities and a strong desire to learn. This fully remote internship provides invaluable real-world experience in data science, allowing you to develop practical skills and contribute to meaningful projects. Join a forward-thinking organization committed to data-driven decision-making and technological advancement. This is an excellent platform to launch your career in the dynamic field of data science.
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Remote Junior Graduate Analyst - Data Science
Posted 22 days ago
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Job Description
Kickstart your career with this exciting, fully remote Junior Graduate Analyst position focused on Data Science! Our client is a rapidly growing tech firm looking for bright, ambitious graduates eager to dive into the world of data. You will work alongside experienced data scientists, learning to extract insights, build predictive models, and contribute to data-driven decision-making across various business functions. This internship is designed to provide a comprehensive learning experience in a supportive, remote-first environment.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Support the development and implementation of statistical models and machine learning algorithms.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Create visualizations and reports to communicate findings to both technical and non-technical audiences.
- Collaborate with team members on data analysis projects, contributing to problem-solving and insight generation.
- Learn and apply data analysis tools and programming languages such as Python or R.
- Document data processes, methodologies, and findings.
- Participate in team meetings and contribute ideas for data-driven solutions.
- Gain practical experience in data wrangling, feature engineering, and model evaluation.
- Assist in A/B testing design and analysis.
- Contribute to the maintenance and improvement of data pipelines.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid understanding of statistical concepts and basic machine learning principles.
- Familiarity with programming languages like Python or R for data analysis.
- Basic knowledge of SQL for database querying.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and data accuracy.
- Good communication and interpersonal skills, suitable for remote collaboration.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and manage tasks effectively in a remote setting.
- Enthusiasm for data and its potential to drive business value.
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Principal AI Scientist - Deep Learning
Posted 6 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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Junior Data Scientist - AI & Machine Learning
Posted 22 days ago
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Job Description
Our client is seeking a bright and enthusiastic Junior Data Scientist to join their innovative team, working entirely remotely. This internship offers a unique opportunity to gain hands-on experience in applying advanced AI and Machine Learning techniques to real-world business problems. You will work closely with senior data scientists and engineers, contributing to the development of predictive models, data analysis pipelines, and intelligent systems. Your responsibilities will include collecting, cleaning, and preprocessing large datasets, performing exploratory data analysis to uncover insights, and assisting in the implementation and evaluation of machine learning algorithms. You will also be involved in building data visualizations to communicate findings effectively to technical and non-technical stakeholders. We are looking for individuals with a strong foundation in statistics, mathematics, and programming, preferably with experience in Python or R. Familiarity with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch is a significant advantage. The ability to learn quickly, adapt to new technologies, and collaborate effectively in a remote team environment is crucial. This role is ideal for recent graduates or current students in computer science, statistics, mathematics, or a related quantitative field who are passionate about AI and data-driven decision-making. You will be exposed to various aspects of the data science lifecycle, from problem definition to model deployment. Opportunities for growth and learning are abundant. You will receive mentorship from experienced professionals, participate in team brainstorming sessions, and contribute to impactful projects. We encourage curiosity and a proactive approach to problem-solving. The successful candidate will demonstrate excellent analytical and problem-solving skills, attention to detail, and a commitment to producing high-quality work. This is a fully remote position, allowing you to work from anywhere within a suitable timezone. We are committed to fostering a diverse and inclusive workplace, and we encourage applications from all qualified individuals. If you are eager to kickstart your career in data science and contribute to cutting-edge AI solutions from a remote setting, this internship is an exceptional starting point.
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Junior Data Scientist - Machine Learning & AI
Posted 22 days ago
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Job Description
Our client is offering an exciting opportunity for motivated recent graduates to join their team as Junior Data Scientists. This is a fully remote internship, providing invaluable hands-on experience in the field of machine learning and artificial intelligence. You will work closely with senior data scientists and engineers on challenging projects, contributing to the development and implementation of predictive models and AI solutions. Responsibilities will include data cleaning, feature engineering, model development, validation, and deployment. You will gain exposure to various machine learning algorithms, programming languages, and data visualization tools.
Key responsibilities:
Key responsibilities:
- Assist in data collection, cleaning, and pre-processing from various sources.
- Perform exploratory data analysis to identify patterns and insights.
- Develop and implement machine learning models under the guidance of senior team members.
- Conduct feature engineering and selection to improve model performance.
- Validate and test model accuracy and effectiveness.
- Assist in deploying machine learning models into production environments.
- Create data visualizations to communicate findings and insights effectively.
- Collaborate with cross-functional teams to understand business requirements and translate them into data science problems.
- Stay up-to-date with the latest advancements in machine learning and AI.
- Contribute to technical documentation and code repositories.
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Principal Scientist - AI in Drug Discovery
Posted 1 day ago
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Job Description
Our client is searching for an exceptional Principal Scientist with a specialization in Artificial Intelligence applied to Drug Discovery to join their pioneering, fully remote research team. This senior scientific role will spearhead the development and implementation of novel AI/ML models and computational approaches to accelerate the identification and optimization of therapeutic candidates. You will be responsible for designing and executing complex research projects, analyzing large biological and chemical datasets, and driving innovation in areas such as target identification, hit-to-lead optimization, and preclinical development. The ideal candidate will possess a Ph.D. in a relevant scientific field (e.g., Computational Biology, Cheminformatics, Computer Science, Biophysics) with a strong focus on AI/ML, coupled with a deep understanding of modern drug discovery paradigms. Proven experience in applying machine learning techniques to biological data is essential. You will lead scientific collaborations, mentor junior researchers, and communicate findings effectively through publications and presentations. This position requires a visionary scientist with a proven track record of scientific leadership and a passion for translating cutting-edge AI research into tangible pharmaceutical advancements. Location: Mombasa, Mombasa, KE . This is a fully remote position, offering flexibility to work from your preferred location while collaborating with a globally distributed, world-class research team. We offer a highly competitive salary, exceptional benefits, and the opportunity to work on challenging, high-impact projects at the intersection of AI and medicine.
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Principal Research Scientist - Data Science & AI
Posted 5 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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7
AI Research Scientist - Computer Vision
Posted 22 days ago
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Job Description
Our client is at the forefront of AI innovation and is looking for a brilliant AI Research Scientist specializing in Computer Vision to join their esteemed team in Kisumu. This role offers a hybrid work arrangement, combining the benefits of in-office collaboration with the flexibility of remote work. You will be instrumental in pushing the boundaries of artificial intelligence, conducting cutting-edge research, and developing novel computer vision models and algorithms. Your work will directly contribute to developing intelligent systems that can perceive, understand, and interpret visual information.
Responsibilities:
Qualifications:
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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Graduate Data Analyst - AI & Machine Learning
Posted 1 day ago
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Job Description
Our client is looking for enthusiastic and bright Graduate Data Analysts to join their pioneering AI & Machine Learning team in a fully remote, internship capacity. This is an exceptional opportunity for recent graduates to gain hands-on experience in the exciting fields of data science, artificial intelligence, and machine learning. You will work closely with experienced data scientists and engineers, contributing to real-world projects that involve data cleaning, feature engineering, model development, and performance evaluation. The ideal candidate will possess a strong foundation in statistics, mathematics, and programming, with a keen interest in developing skills in Python or R, and machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch. You will be involved in extracting insights from large datasets, building predictive models, and assisting in the deployment of AI solutions. As a remote intern, you will benefit from a flexible work environment and access to online learning resources, with regular virtual mentorship sessions and team meetings to ensure guidance and integration. We are seeking individuals who are highly curious, eager to learn, and possess excellent analytical and problem-solving abilities. The ability to communicate technical findings clearly, both verbally and in writing, is also essential. This internship provides a stepping stone for a career in data science and AI, offering exposure to cutting-edge technologies and a supportive learning environment. You will have the chance to apply theoretical knowledge to practical challenges and contribute to innovative projects that are shaping the future of technology. This role is perfect for driven individuals looking to kickstart their career in a rapidly evolving industry.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify patterns and trends.
- Develop and train machine learning models under guidance.
- Evaluate model performance and provide insights for improvement.
- Assist in feature engineering and selection for predictive models.
- Collaborate with senior data scientists on various AI/ML projects.
- Document methodologies, findings, and results of analyses.
- Learn and apply new data science and machine learning techniques.
- Participate in team meetings and contribute to discussions.
- Support in the visualization of data and model outcomes.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (recent graduates welcome).
- Solid understanding of statistical concepts and their application.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for AI and machine learning.
- A proactive and curious mindset.
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