1,027 Lead Remote AI Research Scientist jobs in Kenya
Lead Data Scientist - Remote Analytics & AI
Posted 22 days ago
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Lead Data Scientist - Remote Machine Learning
Posted 12 days ago
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- Lead the development and deployment of advanced machine learning models.
- Mentor and guide a team of data scientists and engineers.
- Define research questions and select appropriate methodologies.
- Explore and analyze large, complex datasets.
- Build predictive models and algorithms for scientific applications.
- Collaborate with domain experts and cross-functional teams.
- Translate research findings into practical solutions and insights.
- Contribute to the strategic direction of research and development.
- Ensure the scalability and robustness of deployed models.
- Present findings and recommendations to stakeholders.
- Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Physics).
- 8+ years of experience in data science and machine learning, with leadership experience.
- Expertise in deep learning, NLP, reinforcement learning, and other ML techniques.
- Proficiency in Python or R and associated ML libraries.
- Experience with big data technologies and cloud platforms.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills.
- Proven ability to lead and manage a remote technical team.
Remote Lead Data Scientist - AI/ML
Posted 21 days ago
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Remote Lead Research Scientist - AI/ML
Posted 4 days ago
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Remote Lead Data Scientist - AI & Machine Learning
Posted 8 days ago
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Key Responsibilities:
- Lead the development and deployment of advanced AI and machine learning models.
- Oversee data science projects from conception to production implementation.
- Mentor and manage a team of data scientists, providing technical guidance and leadership.
- Identify opportunities for leveraging data analytics to solve complex business problems.
- Design and conduct experiments to validate hypotheses and model performance.
- Ensure the quality, integrity, and security of data used for analysis.
- Collaborate with engineering and product teams to integrate ML models into applications.
- Communicate complex analytical results and insights to diverse stakeholders.
- Stay abreast of the latest research and advancements in AI/ML and data science.
- Contribute to the strategic direction of the data science function.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 8 years of experience in data science, with a focus on AI/ML.
- Proven experience leading data science teams and projects.
- Expertise in programming languages like Python or R, and relevant libraries (e.g., scikit-learn, pandas).
- Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of statistical modeling, machine learning algorithms, and deep learning.
- Excellent problem-solving, analytical, and critical thinking skills.
- Superior communication and presentation abilities.
- Experience with MLOps and model deployment is a plus.
Remote Lead Data Scientist - AI Research
Posted 11 days ago
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Key Responsibilities:
- Lead and mentor a team of data scientists and AI researchers.
- Develop and implement advanced AI and machine learning models.
- Design and execute research projects to explore new AI frontiers.
- Collaborate with product and engineering teams to integrate AI solutions.
- Analyze large datasets to identify patterns and extract valuable insights.
- Publish research findings in top-tier conferences and journals.
- Stay abreast of the latest developments in AI, machine learning, and data science.
- Present complex technical concepts to diverse audiences.
- Contribute to the strategic direction of AI research and development.
- Ensure the scalability and efficiency of AI models and pipelines.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science and machine learning, with a focus on AI research.
- Proven leadership experience in managing research teams.
- Expertise in programming languages such as Python or R, and ML libraries (e.g., TensorFlow, PyTorch).
- Strong understanding of statistical modeling, algorithms, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving and critical thinking skills.
- Strong communication and presentation abilities.
- Demonstrated ability to work independently and lead remote teams effectively.
- A strong publication record in relevant AI/ML venues.
Remote Lead Data Scientist - Machine Learning
Posted 8 days ago
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Responsibilities:
- Lead the design, development, and deployment of cutting-edge machine learning models and algorithms.
- Oversee the entire data science lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment.
- Mentor and guide a team of data scientists, fostering their technical and professional growth.
- Collaborate with stakeholders to identify business problems that can be solved with data science and machine learning.
- Develop and implement strategies for data collection, cleaning, and feature engineering.
- Conduct advanced statistical analysis and hypothesis testing to derive actionable insights.
- Stay current with the latest research and advancements in machine learning and artificial intelligence.
- Communicate complex technical findings and recommendations to both technical and non-technical audiences.
- Ensure the scalability, performance, and reliability of deployed models.
- Contribute to the development of the company's data science infrastructure and best practices.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 8+ years of hands-on experience in data science and machine learning, with a proven track record of delivering impactful solutions.
- 5+ years of experience leading data science teams or projects.
- Expertise in a wide range of machine learning algorithms and techniques (e.g., deep learning, reinforcement learning, NLP).
- Proficiency in Python or R, along with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of statistical modeling and experimental design.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and leadership abilities, with experience managing remote teams.
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Remote Lead Data Scientist - Machine Learning Applications
Posted 2 days ago
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Key Responsibilities:
- Leading the development and deployment of machine learning models for various business applications, such as customer segmentation, fraud detection, and predictive maintenance.
- Designing and implementing advanced statistical and machine learning algorithms.
- Collaborating with stakeholders to define project requirements and translate business problems into data science solutions.
- Mentoring and guiding junior data scientists, fostering a culture of innovation and continuous learning.
- Performing in-depth data analysis, feature engineering, and model evaluation.
- Staying abreast of the latest advancements in AI, machine learning, and data science.
- Communicating complex technical findings and insights to both technical and non-technical audiences.
- Ensuring the ethical and responsible use of data and AI models.
Lead Remote AI Research Scientist
Posted 5 days ago
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Key Responsibilities:
- Lead and conduct advanced research in key areas of AI, such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop novel algorithms, models, and techniques to address complex AI challenges.
- Design and implement experiments, analyze results, and draw meaningful conclusions.
- Publish research findings in top-tier conferences and journals, contributing to the advancement of the field.
- Mentor and guide junior research scientists, fostering their technical growth and project contributions in a remote setting.
- Collaborate with cross-functional teams, including engineers and product managers, to translate research concepts into practical applications.
- Stay abreast of the latest advancements and trends in AI research and technology.
- Contribute to the development of intellectual property and patents.
- Present research findings and proposals to internal and external stakeholders.
- Manage research project timelines and resources effectively.
- Contribute to the strategic direction of the AI research roadmap.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
- Minimum of 7 years of post-doctoral research experience in AI/ML, with a strong focus on independent research and innovation.
- Exceptional publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) and journals.
- Proven expertise in one or more AI subfields (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Strong programming skills in Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data analysis and distributed computing is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding communication and interpersonal skills, essential for effective remote leadership and collaboration.
- Ability to work autonomously, manage multiple research projects, and drive them to completion in a remote environment.
- Experience leading research teams or projects is highly desirable.
Remote Lead AI Research Scientist - Machine Learning
Posted 7 days ago
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Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 7+ years of research experience in AI/ML, with a focus on developing novel algorithms.
- Demonstrated expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong publication record in top AI conferences (e.g., NeurIPS, ICML, CVPR, ACL).
- Experience with large-scale data processing and distributed systems.
- Proven leadership experience, with the ability to mentor and guide research teams.
- Exceptional analytical, problem-solving, and communication skills.
- Experience working effectively in a remote, collaborative environment.