13 AI Researcher jobs in Nairobi
Senior AI Ethics Researcher
Posted 5 days ago
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Junior Data Science Trainee
Posted 2 days ago
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Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
- Support the development and implementation of machine learning models under supervision.
- Create data visualizations and reports to communicate findings effectively.
- Collaborate with team members on data-related projects and tasks.
- Learn and apply various data science techniques and tools.
- Participate in team meetings and contribute to discussions on data strategy and insights.
- Help in documenting data processes and methodologies.
- Gain exposure to different aspects of the data science lifecycle.
- Contribute to ad-hoc data analysis requests as needed.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundational knowledge of statistics and mathematics.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Basic understanding of data manipulation libraries (e.g., Pandas, NumPy).
- Enthusiasm for data science and machine learning.
- Excellent problem-solving skills and attention to detail.
- Good communication and collaboration skills, suitable for remote teamwork.
- Eagerness to learn and adapt to new technologies and methodologies.
- Prior experience with SQL is a plus.
- Must have a reliable internet connection and a suitable remote work environment.
Lead AI Ethics and Governance Researcher
Posted 2 days ago
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Key Responsibilities:
- Lead research on emerging ethical challenges and societal impacts of AI.
- Develop and implement comprehensive AI ethics guidelines, principles, and best practices.
- Design and oversee AI governance frameworks and risk assessment methodologies.
- Collaborate with AI researchers, engineers, product managers, and legal teams to embed ethical considerations into the AI lifecycle.
- Author white papers, policy recommendations, and academic publications on AI ethics and governance.
- Organize and facilitate workshops, seminars, and public engagement initiatives on responsible AI.
- Advise senior leadership on AI ethics and governance strategy and risks.
- Stay abreast of global regulations, industry standards, and academic discourse in AI ethics.
- Foster a culture of responsible AI development and deployment across the organization.
- Represent the company at conferences and forums related to AI ethics.
- Advanced degree (Master's or PhD) in Philosophy, Ethics, Law, Computer Science, Public Policy, or a related field with a specialization in AI ethics or technology policy.
- Minimum of 7 years of experience in research, policy, or consulting related to AI ethics, technology governance, or responsible innovation.
- Demonstrated expertise in AI technologies and their potential ethical implications.
- Strong understanding of ethical theories, principles, and frameworks.
- Experience developing policy recommendations or governance frameworks for complex technological issues.
- Excellent research, analytical, and writing skills, with a proven ability to publish and present complex ideas clearly.
- Exceptional communication and interpersonal skills, adept at engaging diverse stakeholders in a remote setting.
- Leadership experience, with the ability to guide research teams and influence organizational strategy.
- Passion for advancing ethical and responsible AI development.
- Familiarity with global regulatory landscapes for AI is a plus.
Senior AI Research Scientist - Deep Learning
Posted 2 days ago
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Principal AI Research Scientist - Deep Learning
Posted 4 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence.
- Design, develop, and implement novel AI algorithms and models.
- Lead research projects from conception to completion, including experimentation and validation.
- Analyze large and complex datasets to extract insights and train models.
- Publish research findings in leading AI conferences and journals.
- Collaborate with engineering teams to integrate AI models into production systems.
- Mentor junior researchers and contribute to the team's technical growth.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Contribute to patent applications and intellectual property development.
- Present research findings to internal and external stakeholders.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Extensive experience (8+ years) in AI research and development, with a focus on deep learning.
- Strong publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Expertise in deep learning architectures (CNNs, RNNs, Transformers, GANs).
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Experience with large-scale data processing and distributed computing.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience leading research initiatives and mentoring team members.
Machine Learning Engineer
Posted 3 days ago
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Responsibilities:
- Design, build, and maintain scalable machine learning models and algorithms.
- Develop and implement data preprocessing pipelines and feature engineering techniques.
- Train, evaluate, and fine-tune ML models using various frameworks and tools.
- Deploy ML models into production environments and monitor their performance.
- Collaborate with data scientists and software engineers to integrate ML solutions into products and services.
- Conduct research on new ML techniques and technologies to identify potential applications.
- Analyze large datasets to extract insights and inform model development.
- Optimize model performance for accuracy, efficiency, and scalability.
- Develop and maintain documentation for ML models and processes.
- Stay current with advancements in the field of AI and machine learning.
- Troubleshoot and resolve issues related to ML model performance in production.
- Present findings and technical details to stakeholders.
Qualifications:
- Master's or PhD in Computer Science, Data Science, Statistics, or a related quantitative field.
- 3+ years of hands-on experience in machine learning engineering or data science with a focus on model development and deployment.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
- Experience with data manipulation and analysis tools (e.g., Pandas, Spark).
- Strong understanding of various ML algorithms, including supervised, unsupervised, and deep learning.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Familiarity with MLOps principles and tools.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with containerization technologies like Docker is a plus.
- Ability to work effectively in both remote and on-site settings as required.
This hybrid role, with a client presence in Malindi, Kilifi, KE , offers a competitive salary and the chance to work at the forefront of AI innovation.
Graduate Data Scientist - Machine Learning
Posted 1 day ago
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Responsibilities:
- Assist in collecting, cleaning, and preparing large datasets for machine learning model training.
- Develop, train, and evaluate machine learning models under the guidance of senior data scientists.
- Implement algorithms for classification, regression, clustering, and other data mining tasks.
- Visualize data and model results to identify trends and insights.
- Contribute to the documentation of data analysis processes, models, and findings.
- Participate in team meetings and discussions, contributing ideas and insights.
- Learn and apply various machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Support in deploying and monitoring machine learning models in production environments.
- Research and stay updated on the latest advancements in data science and machine learning.
- Collaborate effectively with remote team members through various communication platforms.
- Assist in the interpretation of model performance and provide actionable recommendations.
- Gain practical experience in an end-to-end data science project lifecycle.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Basic knowledge of machine learning frameworks is a plus.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to explain technical concepts clearly.
- Ability to work independently, manage time effectively, and collaborate remotely.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous exposure to data science projects or coursework is beneficial.
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AI Research Scientist - Machine Learning
Posted 7 days ago
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Responsibilities:
- Conduct research and development in machine learning and AI.
- Develop and implement advanced ML algorithms and models.
- Analyze large datasets and identify patterns and insights.
- Collaborate with engineers to deploy AI solutions.
- Stay current with AI research trends and methodologies.
- Publish research findings and contribute to intellectual property.
- Ph.D. or Master's degree in Computer Science, AI, ML, or related field.
- Proven experience in machine learning research and development.
- Expertise in deep learning, NLP, or computer vision.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
- Strong mathematical and statistical background.
- Excellent research, analytical, and communication skills.
Lead AI Engineer - Machine Learning Platforms
Posted today
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As the Lead AI Engineer, you will be responsible for designing, developing, and deploying scalable and robust machine learning models and MLOps pipelines. You will lead a team of talented AI engineers, providing technical guidance, mentorship, and fostering a culture of innovation. Your core responsibilities will include defining the ML platform architecture, selecting appropriate tools and technologies, and establishing best practices for model development, training, deployment, and monitoring. You will work closely with data scientists and software engineers to ensure seamless integration of ML models into production systems.
A key aspect of this role involves architecting solutions for data ingestion, feature engineering, model training at scale, and efficient model serving. You will be instrumental in developing frameworks and tools that empower data scientists to build and deploy models more effectively. Experience with cloud platforms (AWS, Azure, GCP) and their associated AI/ML services is essential. You will also focus on implementing MLOps principles, including CI/CD for ML, automated testing, and performance monitoring, to ensure the reliability and maintainability of ML systems.
The Lead AI Engineer will stay abreast of the latest advancements in machine learning, deep learning, and AI research, identifying opportunities to leverage new technologies. You will contribute to strategic decisions regarding the company's AI roadmap and research initiatives. Excellent communication skills are vital for collaborating with cross-functional teams, stakeholders, and presenting complex technical concepts clearly. You will also be responsible for identifying and mitigating risks associated with AI development and deployment, ensuring ethical considerations are addressed.
This role requires a passion for building cutting-edge AI systems and a proven ability to lead technical teams in a fast-paced, remote environment. The ideal candidate will possess strong analytical and problem-solving skills, coupled with a deep understanding of software engineering best practices.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 7+ years of experience in software engineering, with a strong focus on machine learning and AI development.
- Minimum of 3 years of experience leading engineering teams.
- Proven expertise in designing and implementing scalable ML platforms and MLOps pipelines.
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Extensive experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Deep understanding of ML algorithms, deep learning architectures, and statistical modeling.
- Experience with containerization technologies (Docker, Kubernetes).
- Excellent understanding of software development best practices, including CI/CD, testing, and version control.
- Strong communication, leadership, and problem-solving skills.
Lead AI Research Scientist - Machine Learning
Posted 2 days ago
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Your responsibilities will include designing and conducting experiments, analyzing results, and publishing findings in top-tier scientific venues. You will mentor junior researchers, collaborate with product teams to translate research into tangible applications, and stay abreast of the latest advancements in the AI field. This role requires a deep theoretical understanding of AI/ML principles, coupled with strong practical implementation skills. The ideal candidate is a visionary leader passionate about solving complex problems and driving technological progress.
Key Responsibilities:
- Lead and contribute to cutting-edge research in artificial intelligence and machine learning.
- Develop and implement novel AI algorithms and models, particularly in deep learning, NLP, and computer vision.
- Design and execute rigorous experiments to evaluate the performance and effectiveness of AI systems.
- Analyze complex datasets and interpret research findings.
- Publish research results in leading academic conferences and journals.
- Mentor and guide junior research scientists and engineers.
- Collaborate with cross-functional teams to translate research breakthroughs into practical product features.
- Stay current with the latest trends, research papers, and advancements in AI/ML.
- Contribute to the intellectual property portfolio of the company through patents and publications.
- Present research findings to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development, with a strong publication record.
- Expertise in one or more of the following areas: deep learning, natural language processing, computer vision, reinforcement learning.
- Proficiency in programming languages such as Python, and ML frameworks like TensorFlow, PyTorch, Keras.
- Strong understanding of statistical modeling, algorithms, and data structures.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and mentor team members.
- Exceptional communication and collaboration skills, especially in a remote setting.
- Experience with large-scale data processing and distributed computing is a plus.
- Demonstrated ability to work independently and drive projects to completion.