2,514 Remote Lead AI Research Scientist Nlp jobs in Kenya
Lead Research Scientist - Remote Sensing & AI
Posted 20 days ago
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Job Description
Responsibilities:
- Lead and mentor a team of remote research scientists.
- Develop and implement advanced AI and machine learning models for remote sensing data.
- Design and execute research experiments to test hypotheses.
- Analyze and interpret complex datasets, deriving actionable insights.
- Publish research findings in top-tier scientific journals and conferences.
- Collaborate with cross-functional teams to translate research into products.
- Contribute to grant writing and secure research funding.
- Oversee research project planning, execution, and reporting.
- Stay abreast of the latest advancements in AI, machine learning, and remote sensing.
- Foster a culture of innovation and scientific excellence.
Qualifications:
- Ph.D. in Computer Science, Electrical Engineering, Geospatial Science, or a related field with a specialization in AI/ML and remote sensing.
- 8+ years of relevant research experience, including leadership roles.
- Proven expertise in machine learning, deep learning, computer vision, and geospatial data analysis.
- Experience with remote sensing platforms and data (e.g., satellite imagery, LiDAR).
- Strong programming skills (e.g., Python, R, TensorFlow, PyTorch).
- Demonstrated ability to lead research projects and teams in a remote environment.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong publication record and proven ability to communicate complex ideas.
- Experience with cloud computing platforms (AWS, Azure, GCP).
Lead Data Scientist - Remote Analytics & AI
Posted 20 days ago
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Remote Lead Data Scientist (AI/ML)
Posted 20 days ago
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Job Description
Remote Lead Research Scientist - AI/ML
Posted 6 days ago
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Job Description
Responsibilities:
- Lead and mentor a team of AI/ML researchers and engineers.
- Design and implement advanced AI/ML algorithms and models.
- Conduct cutting-edge research in areas such as deep learning, NLP, computer vision, etc.
- Develop research proposals and secure funding for projects.
- Collaborate with product teams to integrate research findings into new products and features.
- Publish research findings in top-tier conferences and journals.
- Evaluate and adopt new technologies and methodologies.
- Oversee the experimental design and execution process.
- Present research progress and outcomes to senior management and stakeholders.
- Contribute to the strategic direction of AI/ML research within the company.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Significant research experience and a strong publication record in AI/ML.
- Proven experience leading research teams and managing projects.
- Deep expertise in at least one major area of AI/ML (e.g., deep learning, NLP, computer vision).
- Proficiency in programming languages such as Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding communication and presentation abilities.
- Ability to thrive in a fast-paced, collaborative remote research environment.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Lead Remote Data Scientist - AI/ML
Posted 20 days ago
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Job Description
Responsibilities:
- Lead the design, development, and implementation of sophisticated AI/ML models for complex scientific research problems.
- Mentor and guide a team of data scientists, fostering a collaborative and high-performance remote work environment.
- Define research hypotheses, design experiments, and conduct rigorous data analysis to validate findings.
- Develop and deploy scalable machine learning pipelines using cloud platforms (AWS, Azure, GCP).
- Utilize statistical modeling, deep learning, NLP, and other advanced techniques to extract insights from large datasets.
- Collaborate closely with domain experts, engineers, and stakeholders to understand requirements and deliver impactful solutions.
- Stay abreast of the latest advancements in AI/ML research and industry trends, integrating new methodologies as appropriate.
- Communicate complex technical findings and recommendations clearly to both technical and non-technical audiences through presentations and reports.
- Ensure the quality, integrity, and reproducibility of research outputs.
- Contribute to grant proposals and publications in relevant scientific journals.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 7 years of progressive experience in data science, with at least 3 years in a leadership or senior role.
- Extensive experience in developing and deploying ML models (e.g., regression, classification, clustering, deep learning, reinforcement learning).
- Proficiency in Python or R, and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
- Strong experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
- Experience with cloud computing platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Demonstrated ability to lead and mentor technical teams in a remote setting.
- Exceptional communication and presentation skills, with the ability to convey complex ideas effectively.
- Published research or significant contributions to open-source projects are a plus.
Remote Lead Data Scientist - AI Research
Posted 9 days ago
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Job Description
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 AI Research Scientist - NLP
Posted 17 days ago
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Job Description
- Leading research initiatives in Natural Language Processing and understanding.
- Developing and refining novel deep learning architectures for NLP tasks.
- Designing and implementing experiments to evaluate model performance.
- Staying abreast of the latest advancements in AI, NLP, and machine learning.
- Mentoring and guiding junior researchers, fostering a collaborative research environment.
- Publishing research findings in leading academic venues (e.g., NeurIPS, ICML, ACL).
- Collaborating with engineering teams to translate research prototypes into deployable solutions.
- Analyzing and interpreting complex datasets to inform model development.
- Defining research roadmaps and setting ambitious goals for the NLP team.
- Contributing to intellectual property development and patent applications.
- Presenting research work internally and externally to diverse audiences.
- Managing research project timelines and resources effectively.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in NLP.
- 7+ years of research experience in NLP and deep learning, with a strong publication record.
- Expertise in transformer architectures, large language models (LLMs), and related NLP techniques.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python and experience with relevant libraries (e.g., Hugging Face Transformers, spaCy).
- Experience with large-scale data processing and model training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven leadership and team management capabilities.
- Exceptional communication and presentation skills, crucial for remote collaboration.
- Ability to conduct independent research and drive innovation.
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Remote Lead Data Scientist - AI & Machine Learning
Posted 6 days ago
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Job Description
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 AI Research Scientist - Machine Learning
Posted 4 days ago
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Job Description
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.
Remote Lead AI Research Scientist
Posted 20 days ago
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Job Description
Key Responsibilities:
- Lead and conduct pioneering research in areas such as machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
- Develop and implement novel AI algorithms and models to address complex real-world problems.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Publish research findings in top-tier academic conferences and journals.
- Mentor and guide junior AI researchers and engineers.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Contribute to the strategic direction of the AI research roadmap.
- Develop and maintain strong collaborative relationships with academic institutions and industry partners.
- Present research findings and technical proposals to both technical and non-technical audiences.
- Ensure the ethical considerations and potential societal impacts of AI are addressed in research.
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 or Machine Learning.
- Demonstrated expertise in one or more AI subfields (e.g., deep learning, NLP, computer vision).
- Strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or journals.
- Proficiency in programming languages such as Python and relevant AI frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with large-scale data processing and distributed computing environments.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and communication abilities, with the capacity to mentor and guide a team.
- Ability to work effectively in a remote, collaborative research environment.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.