188 Etl Processes jobs in Nairobi

• Conduct cutting-edge research in machine learning, deep learning, and related AI fields.
• Design, develop, and implement advanced AI algorithms and models for various applications.
• Prototype and experiment with new AI technologies, frameworks, and approaches.
• Analyze and interpret large datasets to train and validate AI models.
• Optimize model performance for scalability, efficiency, and accuracy.
• Collaborate with software engineers to integrate AI models into production systems.
• Stay abreast of the latest advancements in AI research and industry trends.
• Publish research findings in reputable conferences and journals.
• Mentor junior researchers and engineers, fostering a collaborative research environment.
• Contribute to the intellectual property strategy through invention disclosures and patent applications.
• Evaluate and select appropriate tools, libraries, and platforms for AI development.
• Ensure the ethical and responsible development and deployment of AI technologies.
• Participate in cross-functional team meetings and contribute to strategic planning.
• Develop clear and concise technical documentation for research projects and implemented solutions.
• Present research progress and findings to internal stakeholders and at external forums.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of progressive experience in AI/ML research and development.
• Proven track record of developing and deploying complex machine learning models (e.g., neural networks, NLP, computer vision).
• Expertise in programming languages such as Python, and proficiency with ML frameworks like TensorFlow, PyTorch, or Keras.
• Strong understanding of statistical modeling, data mining, and algorithm design.
• Experience with big data technologies (e.g., Spark, Hadoop) is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, essential for remote collaboration and disseminating research.
• Ability to work independently, drive research initiatives, and manage projects effectively in a remote setting.
• Experience with cloud computing platforms (AWS, Azure, GCP) for ML workloads is a plus.
• Strong publication record in top-tier AI/ML venues is advantageous.

• Design and implement cutting-edge research projects in marine biology.
• Conduct advanced statistical analysis of ecological and biological data.
• Author and co-author publications for leading scientific journals.
• Present research findings at national and international scientific forums.
• Secure research grants and funding through competitive applications.
• Supervise and mentor postgraduate students and postdoctoral researchers.
• Collaborate with interdisciplinary teams to address complex environmental challenges.
• Maintain up-to-date knowledge of the latest advancements in marine science and research methodologies.
• Develop and manage project budgets and timelines effectively.
• Contribute to the strategic direction of the research department.

• Ph.D. in Marine Biology, Oceanography, Ecology, or a related field.
• Minimum of 7 years of post-doctoral research experience in a relevant area.
• Demonstrated success in securing external research funding.
• Excellent publication record in high-impact scientific journals.
• Proficiency in statistical software (e.g., R, SAS) and bioinformatics tools.
• Strong understanding of marine ecosystems, conservation biology, and climate change impacts.
• Exceptional written and verbal communication skills.
• Proven ability to lead research teams and manage complex projects.
• Experience with remote collaboration tools and methodologies is a plus.
• Commitment to advancing scientific understanding and contributing to conservation efforts.

• Lead independent research projects in materials science.
• Design, conduct, and analyze experiments related to material synthesis and characterization.
• Develop novel materials with tailored properties for specific applications.
• Publish research findings in high-impact peer-reviewed journals.
• Present research at national and international conferences.
• Collaborate with cross-functional teams to translate research into potential products.
• Mentor junior researchers and provide scientific guidance.
• Stay current with the latest advancements and trends in materials science.
• Contribute to the development of intellectual property and patent applications.

• Ph.D. in Materials Science, Chemistry, Physics, or a related field.
• 7+ years of post-doctoral or industry research experience in materials science.
• Demonstrated expertise in at least one area of materials science (e.g., polymers, ceramics, metals, nanomaterials).
• Proficiency in various materials characterization techniques.
• Strong publication record and presentation experience.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and collaboration abilities.
• Proven ability to conduct independent research and manage projects remotely.

• Design and remotely manage agricultural research trials focused on crop performance, soil health, and sustainable practices.
• Analyze field data (e.g., yield, soil nutrient levels, weather patterns, pest incidence) using statistical software and agricultural platforms.
• Develop data-driven recommendations for crop fertilization, irrigation, pest management, and disease control strategies.
• Provide expert agronomic advice and technical support to farmers and agricultural stakeholders through virtual consultations.
• Stay abreast of the latest advancements in agronomy, agricultural technology (AgTech), and sustainable farming methods.
• Contribute to the development of new agricultural products, services, and best practices.
• Prepare technical reports, research summaries, and client-facing documentation.
• Collaborate with cross-functional teams, including R&D, data science, and product development, in a remote setting.
• Identify emerging agricultural challenges and propose innovative solutions.
• Promote best practices for crop health and yield maximization.

• Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a related field.
• Minimum of 6 years of experience in agronomy, crop management, or agricultural research.
• Proven experience in designing and analyzing agricultural field trials.
• Strong knowledge of soil science, plant physiology, entomology, and plant pathology.
• Proficiency in data analysis tools (e.g., R, SAS, SPSS) and agricultural software platforms.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional written and verbal communication skills, with the ability to present complex technical information clearly.
• Demonstrated ability to work independently, manage research projects, and deliver results in a remote environment.
• Passion for sustainable agriculture and innovation in the agricultural sector.
• Experience with remote sensing or precision agriculture technologies is a plus.

• Lead the research, design, and implementation of advanced AI algorithms and models, including deep learning, natural language processing, and computer vision.
• Conduct rigorous experimentation, benchmarking, and validation of AI systems to ensure optimal performance and scalability.
• Develop and deploy robust AI solutions that address complex business challenges and create new opportunities.
• Collaborate closely with product managers, data scientists, and software engineers to translate research findings into production-ready features.
• Stay at the forefront of AI research by actively reading academic papers, attending conferences, and experimenting with new techniques.
• Contribute to the company's intellectual property by authoring technical documentation and potentially patent applications.
• Mentor junior AI engineers and foster a culture of innovation and knowledge sharing.
• Optimize AI models for efficiency, accuracy, and resource utilization.
• Participate in code reviews and contribute to the overall quality of the AI codebase.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

• M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of professional experience in AI research and development, with a strong focus on building and deploying production-grade AI systems.
• Proven expertise in at least one major AI domain (e.g., NLP, computer vision, reinforcement learning).
• Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Solid understanding of algorithm design, data structures, and software engineering principles.
• Demonstrated ability to conduct independent research and publish findings (a plus).
• Excellent analytical and problem-solving skills, with a knack for tackling ambiguous problems.
• Exceptional communication and interpersonal skills, vital for a remote team environment.
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is highly desirable.
• Demonstrated leadership potential and the ability to guide complex projects.

• Lead the research and development of novel AI algorithms and machine learning models.
• Design, implement, and optimize AI systems for various applications.
• Conduct rigorous experimentation, analyze results, and publish findings in leading AI venues.
• Develop and deploy scalable AI solutions, working closely with engineering teams.
• Mentor junior researchers and engineers, fostering innovation and technical excellence.
• Stay abreast of the latest advancements in AI and machine learning research.
• Collaborate with cross-functional teams to define AI strategies and roadmaps.
• Contribute to the company's intellectual property through patents and publications.
• Evaluate and integrate new AI technologies and methodologies.
• Ensure the ethical development and deployment of AI systems.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
• Minimum of 8 years of relevant research and development experience in AI/ML, with a strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
• Deep expertise in at least one of the following areas: deep learning, natural language processing, computer vision, reinforcement learning, or generative models.
• Proficiency in programming languages such as Python and expertise in ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed computing.
• Exceptional analytical, problem-solving, and algorithmic thinking skills.
• Outstanding communication and presentation skills, with the ability to explain complex AI concepts to diverse audiences.
• Demonstrated leadership in research projects and the ability to mentor technical teams.
• Ability to work independently, manage ambitious research goals, and drive innovation in a remote environment.

• Nairobi Kenya
• Posted 1 hour ago
• Deadline: 09 October 2025
• Partner: CIFOR-ICRAF

CIFOR-ICRAF
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Under the supervision of the head of SPACIAL the Spatial Data Scientist – Remote Sensing will lead and implement advanced remote sensing analysis tasks, including processing of optical and SAR data, timeseries analysis, and predictive modeling with primary focus on the modeling of temporal dynamics across complex landscapes. The position will support a range of projects and programmes across CIFOR-ICRAF, including Regreening Africa, Knowledge for Great Green Wall Action (K4GGWA). Towards Ending Drought Emergencies (Twende), and upcoming assessments of soil and land health with funding from NORAD.

Duties and responsibilities

Spatial data science

• Optical data processing and analysis, including from sensors such as Sentinel 2 and Landsat 8/9.
• SAR data processing and analysis, primarily Sentinel 1.
• Timeseries analysis, including detection of trends and anomalies in temporal data (vegetation, precipitation, land surface temperatures, etc)
• Predictive modeling of time series data, including forecasting where relevant.
• Applications of machine learning for predictive modeling and mapping of indicators relevant to assessment of ecosystem health using a combination of field data and remote sensing.
• Spatial data analysis tasks, including spatial queries, vector data extraction, processing, and cleaning.
• General data analysis and report writing.
• Supervise a team of junior spatial data scientists and developers.
• Develop communication products/outputs where relevant.

Capacity development

• Lead internal capacity development seminars within CIFOR-ICRAF.
• Capacity development of partners and stakeholders through workshops as part of projects with particular emphasis on spatial data processing and modeling.

Stakeholder engagement

• Work closely with the CIFOR-ICRAF stakeholder engagement team (SHARED) to provide analytical outputs that feed into project delivery, for example monitoring outputs as part of the Great Green Wall.
• Contribute to stakeholder engagement events as part of the development of decision support tools and platforms.

Various Other Tasks

• Contribute to micro-dashboard development as part of the Global Resilience Impact Tracker platform
• Support projects and programs with analytical support and stakeholder engagement with decision makers.
• Lead and/or contribute to scientific papers.
• Contribute to proposal development and writing.

Requirements
Education, knowledge and experience

• MSc degree in remote sensing and spatial data science is required with proven ability to conduct highly complex analytical tasks.
• Excellent interpersonal skills.
• Excellent written and spoken English.
• Advanced computer programming skills in R Statistics, some knowledge of Python and/or Julia, database technologies, and data management.

Personal Attributes And Competencies

• Excellent skills in organizing and priority setting, with the ability to work effectively under time pressure and manage multiple priorities.
• Have initiative and capable of working independently as well as an effective team player.
• Good interpersonal and communication skills, with the ability to effectively interact with people in a multi-disciplinary and multi-cultural environment.
• Experience working with a wide and diverse network of groups and individuals.
• Proactive, target driven, and diligent.
• Works with trustworthiness and integrity.

Education, knowledge and experience

• MSc degree in remote sensing and spatial data science is required with proven ability to conduct highly complex analytical tasks.
• Advanced computer programming skills in R Statistics, some knowledge of Python and/or Julia, database technologies, and data management.

Terms and conditions

• This is a Globally Recruited Staff (GRS) position. CIFOR-ICRAF offers competitive remuneration in USD, commensurate with skills and experience.
• The appointment will be for two (2) year period, inclusive of a six-month probationary period, with the possibility of extension contingent upon performance, continued relevance of the position and available resources.
• The duty station will be in Kenya, Nairobi.

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