2,519 Lead AI Research Scientist Machine Learning Remote jobs in Kenya
Lead Research Scientist - Remote Sensing & AI
Posted 21 days ago
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Job Description
Our client is seeking an innovative and experienced Lead Research Scientist to spearhead cutting-edge research in remote sensing and artificial intelligence within their fully remote R&D division. This is a senior leadership role responsible for guiding research initiatives, developing novel algorithms, and translating scientific discoveries into practical applications. The ideal candidate will possess a strong background in geospatial data analysis, machine learning, computer vision, and a proven track record of publishing in high-impact journals. You will lead a team of talented researchers, foster a collaborative research environment, and manage research projects from conceptualization to implementation. This position demands exceptional analytical skills, creative problem-solving abilities, and the capacity to drive innovation in a fast-paced, distributed setting. Key responsibilities include developing advanced AI models for remote sensing data interpretation, designing experiments, analyzing results, and contributing to intellectual property development. You will collaborate closely with product development teams to ensure research outputs align with strategic business objectives. This role requires a deep understanding of current trends in AI and remote sensing technologies, as well as the ability to anticipate future advancements. The successful candidate will be a visionary leader capable of inspiring a team and shaping the future of our client's research endeavors.
Responsibilities:
Qualifications:
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).
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Lead Data Scientist - Remote Analytics & AI
Posted 21 days ago
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Job Description
Our client, a rapidly expanding tech company at the forefront of data-driven innovation, is seeking an accomplished Lead Data Scientist to spearhead their advanced analytics and artificial intelligence initiatives. This is a unique opportunity for an experienced professional to lead a fully remote team of data scientists, drive impactful insights, and shape the strategic direction of AI and machine learning projects. As the Lead Data Scientist, you will be responsible for designing, developing, and deploying sophisticated machine learning models and analytical solutions that address complex business challenges. Your role will involve leading data exploration, feature engineering, model selection, training, validation, and implementation. You will guide the team in leveraging large datasets to uncover actionable insights, predict trends, and optimize business processes. Strong expertise in programming languages such as Python or R, along with extensive experience in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), is essential. Proficiency in SQL, big data technologies (e.g., Spark, Hadoop), and cloud platforms (AWS, Azure, GCP) is highly desirable. The ideal candidate will possess exceptional analytical, statistical, and problem-solving skills, with a proven track record of successfully delivering data science projects from conception to production. Excellent leadership and communication skills are paramount for mentoring team members, collaborating with cross-functional stakeholders, and articulating complex technical findings to non-technical audiences. You will thrive in a remote environment, demonstrating strong project management capabilities and the ability to manage distributed teams effectively. This role requires strategic thinking, a deep understanding of business objectives, and a passion for pushing the boundaries of data science and AI. We are looking for a visionary leader who can inspire innovation and drive significant business value through data. Experience in A/B testing and experimental design is a plus. The ability to translate abstract business problems into concrete data science solutions is key. This position is linked to the Garissa, Garissa, KE area, but the work is performed entirely remotely.
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Lead Data Scientist - Machine Learning (Remote)
Posted 18 days ago
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Job Description
Our client, an innovative data analytics firm, is seeking a highly experienced Lead Data Scientist with a specialization in Machine Learning to join their fully remote global team. This leadership role will drive the development and deployment of sophisticated machine learning models that extract actionable insights from complex datasets. You will guide a team of data scientists, mentor junior members, and collaborate closely with product and engineering teams to integrate data-driven solutions into our core offerings. The ideal candidate possesses a strong theoretical foundation in statistics and machine learning, coupled with a proven ability to translate business problems into data science initiatives. This position requires exceptional analytical skills, strategic thinking, and the ability to lead effectively in a remote setting. The impact of your work will be felt across our operations, with a focus on enhancing analytics relevant to regions like **Ongata Rongai, Kajiado, KE**, but the role itself is fully remote.
Responsibilities:
Qualifications:
This is a premier opportunity for a talented data scientist to lead impactful projects in a fully remote capacity. Your expertise will drive innovation, with a clear connection to the development needs of emerging markets and regions like **Ongata Rongai, Kajiado, KE**, though the position is entirely remote.
Responsibilities:
- Lead the end-to-end development and implementation of machine learning models for various business applications, including prediction, classification, and clustering.
- Design and conduct experiments to test hypotheses and validate model performance.
- Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with stakeholders to understand business needs and translate them into data science projects.
- Perform advanced statistical analysis and data mining on large, complex datasets.
- Develop and maintain data pipelines, ensuring data quality and integrity.
- Stay abreast of the latest research and advancements in machine learning and AI.
- Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences through presentations and reports.
- Contribute to the strategic roadmap for data science initiatives within the company.
- Ensure the ethical and responsible use of data and AI models.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- 8+ years of experience in data science, with a significant focus on machine learning and predictive modeling.
- Proven experience in leading data science projects and mentoring teams.
- Deep understanding of various machine learning algorithms (e.g., regression, classification, deep learning, NLP) and their practical applications.
- Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong experience with SQL and working with large datasets.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark) is highly desirable.
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Excellent communication, presentation, and interpersonal skills, essential for remote collaboration.
This is a premier opportunity for a talented data scientist to lead impactful projects in a fully remote capacity. Your expertise will drive innovation, with a clear connection to the development needs of emerging markets and regions like **Ongata Rongai, Kajiado, KE**, though the position is entirely remote.
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Lead Data Scientist - AI Research (Remote)
Posted 5 days ago
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Job Description
Our client, a forward-thinking tech innovator, is seeking a highly accomplished Lead Data Scientist specializing in Artificial Intelligence Research to join their esteemed, fully remote team. This pivotal role will involve pioneering cutting-edge AI models and algorithms that will redefine industry standards and drive significant business impact. You will be at the forefront of machine learning innovation, guiding research initiatives and translating complex data into actionable insights. Your responsibilities will include designing, developing, and implementing advanced AI/ML models for prediction, classification, and optimization; conducting rigorous experimentation and validation of new algorithms; and staying abreast of the latest advancements in AI, deep learning, and related fields. You will mentor and guide junior data scientists, foster a collaborative research environment, and communicate complex findings to both technical and non-technical stakeholders. The ideal candidate will possess a strong foundation in statistical modeling, machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch). A proven track record of successfully leading research projects and delivering impactful AI solutions is essential. Excellent programming skills in Python or R, along with expertise in data manipulation and analysis libraries, are required. A PhD or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field is highly desirable. Exceptional problem-solving abilities, strong analytical skills, and the capacity to think abstractly and innovatively are critical. You must be a self-starter, highly motivated, and capable of thriving in an autonomous, remote work setting. This role offers an unparalleled opportunity to influence the future of AI, working on challenging problems with a talented and globally distributed team. We are looking for individuals who are passionate about pushing the boundaries of what's possible with artificial intelligence and who can contribute to a culture of continuous learning and innovation. Your work will directly contribute to developing next-generation AI capabilities, impacting millions of users worldwide. Embrace the challenge of remote research and development at the highest level.
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Lead AI Research Scientist - Remote Machine Learning Models
Posted 21 days ago
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Job Description
Our client is seeking an exceptional Lead AI Research Scientist to spearhead cutting-edge research and development in the field of Artificial Intelligence and Machine Learning. This is a fully remote position for a visionary individual who can conceptualize, design, and implement novel AI models and algorithms. You will be at the forefront of innovation, pushing the boundaries of what's possible in areas such as deep learning, natural language processing, computer vision, and predictive analytics. Your work will involve theoretical research, practical implementation, and the validation of advanced AI solutions that drive significant business value.
Key Responsibilities:
Key Responsibilities:
- Lead research initiatives in AI and Machine Learning, focusing on developing innovative algorithms and models.
- Design, implement, and validate complex ML models for various applications.
- Conduct in-depth research on emerging AI trends and technologies.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Publish research findings in top-tier conferences and journals.
- Mentor and guide junior researchers and engineers in the AI/ML domain.
- Develop frameworks and tools to support AI/ML development and experimentation.
- Identify opportunities to apply AI to solve challenging business problems.
- Stay current with the latest academic and industry advancements in AI.
- Present research progress and findings to technical and non-technical stakeholders.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8+ years of experience in AI research and development, with a strong publication record.
- Deep expertise in areas such as deep learning, neural networks, reinforcement learning, NLP, or computer vision.
- Proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Strong mathematical and statistical background.
- Proven ability to lead research projects from conception to implementation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts.
- Experience working in a remote research environment and collaborating effectively with distributed teams.
- Demonstrated ability to think creatively and independently.
- This position is fully remote, with the main focus on contributing to projects and research relevant to the technological landscape in and around Kitale, Trans-Nzoia, KE .
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Lead Data Scientist - Remote Machine Learning
Posted 11 days ago
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Job Description
Our client, a pioneering organization in scientific research and development, is seeking an accomplished Lead Data Scientist to drive their machine learning initiatives. This is a fully remote position, offering the chance to work on groundbreaking projects from anywhere. You will be responsible for leading the design, development, and implementation of advanced machine learning models and algorithms to solve complex scientific problems. This includes exploring new datasets, identifying patterns, and building predictive models that can accelerate research and discovery. You will mentor a team of data scientists and engineers, providing technical guidance and fostering a collaborative environment. Key responsibilities involve defining research objectives, selecting appropriate methodologies, and translating research findings into actionable insights and innovative solutions. You will work closely with domain experts, researchers, and software engineers to integrate data-driven solutions into existing platforms and workflows. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, with a minimum of 8 years of experience in data science and machine learning, including significant leadership experience. Proven expertise in various machine learning techniques (e.g., deep learning, reinforcement learning, NLP) and a strong command of programming languages such as Python or R are essential. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Exceptional analytical, problem-solving, and critical-thinking skills are paramount. You must possess outstanding communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. The capacity to lead and inspire a remote team, manage multiple projects, and contribute to strategic research direction is crucial. This role offers an unparalleled opportunity to shape the future of scientific discovery through cutting-edge data science. Responsibilities:
- 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.
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5
Lead Remote Data Scientist - AI/ML
Posted 21 days ago
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Job Description
Our client, a cutting-edge research institution, is seeking an exceptional Lead Remote Data Scientist specializing in Artificial Intelligence and Machine Learning to spearhead innovative projects. This is a fully remote, senior-level position requiring a visionary leader with a profound understanding of advanced analytical techniques and a proven track record of delivering impactful data-driven solutions. You will be responsible for designing, developing, and deploying complex ML models, guiding a team of data scientists, and collaborating with cross-functional teams to translate research findings into practical applications. The ideal candidate possesses strong programming skills, extensive experience with big data technologies, and a passion for pushing the boundaries of scientific discovery.
Responsibilities:
Qualifications:
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.
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Remote Lead Data Scientist - AI/ML
Posted 19 days ago
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Job Description
Our client, a cutting-edge organization in Scientific Research & Development, is seeking an innovative and experienced Remote Lead Data Scientist to spearhead their Artificial Intelligence and Machine Learning initiatives. This fully remote, high-impact role will involve leading a team of data scientists, defining research directions, and developing sophisticated AI/ML models to solve complex scientific problems. You will be responsible for the end-to-end lifecycle of data science projects, from problem formulation and data acquisition to model development, deployment, and monitoring. Key responsibilities include designing and implementing advanced machine learning algorithms, conducting rigorous statistical analysis, and performing predictive modeling. You will mentor junior data scientists, review their work, and foster a collaborative and high-performing team environment. This role requires a deep understanding of various ML techniques, including deep learning, natural language processing, and computer vision, as applied to scientific data. Experience with large-scale data processing and distributed computing frameworks is essential. You will also play a crucial role in communicating complex technical findings to non-technical stakeholders, including senior management and research partners. The ideal candidate will possess a strong academic background in a quantitative field (e.g., Computer Science, Statistics, Physics, Mathematics) with a Ph.D. or Master's degree, combined with significant industry experience. Exceptional programming skills in Python or R, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and big data technologies (e.g., Spark, Hadoop) are mandatory. Excellent leadership, communication, and problem-solving skills are required to guide the team and influence strategic decisions. This is a unique opportunity to drive groundbreaking research and development in a flexible remote setting.
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Remote Lead Research Scientist - AI/ML
Posted 16 days ago
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Job Description
Our client, a cutting-edge technology firm focused on advancing artificial intelligence, is seeking a highly accomplished Lead Research Scientist specializing in AI/ML. This role is at the forefront of innovation, driving the development of novel algorithms and machine learning models that will define the future of our products and services. You will lead a team of brilliant researchers and engineers, guiding research initiatives from conceptualization through to experimental validation and potential implementation.
Responsibilities:
This is a hybrid role, requiring a balance of remote work flexibility and in-person collaboration for critical team meetings and brainstorming sessions at our facilities. While the conceptual location is Ongata Rongai, Kajiado, KE , you will have the ability to work remotely for a significant portion of your time.
Qualifications:
Responsibilities:
- Lead and direct research projects in areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Design and implement novel AI/ML algorithms and models to solve complex problems.
- Conduct rigorous experimental validation and performance analysis of research prototypes.
- Collaborate with product development teams to translate research findings into practical applications and features.
- Stay abreast of the latest academic research and industry advancements in AI/ML.
- Publish research findings in top-tier conferences and journals where appropriate.
- Mentor and guide junior researchers and engineers, fostering a culture of scientific inquiry and innovation.
- Develop and manage research roadmaps, ensuring alignment with company strategic goals.
- Secure and manage research grants or funding where applicable.
- Present research progress and outcomes to technical and executive leadership.
This is a hybrid role, requiring a balance of remote work flexibility and in-person collaboration for critical team meetings and brainstorming sessions at our facilities. While the conceptual location is Ongata Rongai, Kajiado, KE , you will have the ability to work remotely for a significant portion of your time.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- A minimum of 7 years of experience in AI/ML research, with a proven track record of significant contributions (publications, patents, successful product integrations).
- Deep expertise in one or more AI/ML subfields (e.g., deep learning, NLP, computer vision).
- Proficiency in programming languages commonly used in AI/ML research (e.g., Python, TensorFlow, PyTorch, scikit-learn).
- Strong theoretical and practical understanding of machine learning algorithms and statistical modeling.
- Experience leading research teams and managing research projects.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts effectively.
- Ability to work effectively in both independent and collaborative settings.
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Lead R&D Scientist - AI in Biotechnology (Remote)
Posted 18 days ago
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Job Description
Our client is seeking an innovative and visionary Lead R&D Scientist with expertise in the intersection of Artificial Intelligence and Biotechnology. This is a critical, fully remote role that will drive cutting-edge research and development initiatives. You will lead a team of scientists and engineers in exploring novel applications of AI/ML for drug discovery, genomics, and personalized medicine. The ideal candidate possesses a strong scientific background combined with deep knowledge of machine learning algorithms and their application in biological research. This position offers a unique opportunity to shape the future of biotech through advanced computational methods.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design and execution of research projects focused on applying AI/ML to complex biological challenges.
- Develop and implement sophisticated machine learning models for data analysis, pattern recognition, and predictive modeling in genomics, proteomics, and drug discovery.
- Oversee the acquisition, processing, and interpretation of large biological datasets (e.g., next-generation sequencing, high-throughput screening).
- Collaborate closely with internal and external stakeholders, including biologists, chemists, clinicians, and data scientists, to define research objectives and translate findings into actionable insights.
- Mentor and guide junior researchers, fostering a culture of scientific excellence and innovation.
- Stay at the forefront of advancements in AI, machine learning, bioinformatics, and relevant biotechnology fields.
- Publish research findings in leading peer-reviewed journals and present at international conferences.
- Manage research budgets and resources effectively.
- Ensure compliance with ethical guidelines and regulatory requirements in research.
- Contribute to the intellectual property strategy through patent filings and disclosures.
Qualifications:
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Genetics, or a related quantitative field.
- A minimum of 7 years of post-doctoral or industry research experience, with a significant portion focused on AI/ML in biological contexts.
- Proven experience in leading research teams and managing R&D projects.
- Expertise in various machine learning techniques (e.g., deep learning, reinforcement learning, natural language processing) and their application to biological data.
- Proficiency in programming languages such as Python, R, and associated libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of molecular biology, genomics, and drug discovery processes.
- Experience with high-performance computing environments and cloud platforms.
- Excellent written and verbal communication skills, with a strong publication record.
- Demonstrated ability to think critically, solve complex problems, and drive innovation.
- Experience with data visualization tools and techniques.
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