Apply for CIFOR Machine Learning Operations Specialist Jobs Kenya 2026. Explore latest NGO jobs in Kenya and apply before the deadline for this CIFOR career opportunity. Interested candidates are encouraged to submit their applications before the closing date of 11 Jun, 2026. Applicants should ensure that they include an updated CV along with all relevant supporting documents when applying. To stay informed about the latest NGO jobs in Kenya vacancies and career updates from CIFOR and other organizations, regularly visit https://study2c.org/ for trusted and timely job notifications.
Apply for CIFOR Machine Learning Operations Specialist Jobs Kenya 2026 | CIFOR Careers
- Position Name: Machine Learning Operations Specialist
- Organization Name: Center for International Forestry Research
- Duty Location / City: Nairobi, Kenya
- Job Application Deadline: 11 Jun, 2026
Duties and responsibilities
MLOps Framework Development and Pipeline Automation
- Design and implement CI/CD pipelines and scalable MLOps frameworks.
- Develop and maintain data, training, and deployment pipelines ensuring reproducibility and efficiency.
Model Deployment, Monitoring, and Performance Optimization
- Deploy machine learning models into production and ensure reliable performance.
- Implement monitoring, logging, and alerting systems to track model accuracy and drift.
Image-Based AI and Digital Phenotyping Solutions
- Support development and deployment of image recognition models using drone and mobile imagery.
- Utilize tools such as Roboflow and Databricks for image-based workflows and scalable ML operations.
Collaboration and Cross-Institutional Integration
- Work with CGIAR partners (e.g., ICRISAT, IITA) and internal teams to harmonize MLOps practices.
- Facilitate knowledge sharing and integration across multidisciplinary teams.
Governance, Capacity Building, and Continuous Improvement
- Ensure compliance with data governance, security, and privacy standards.
- Provide training and promote adoption of best practices while integrating emerging MLOps.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Agricultural Informatics, or a related quantitative field.
- Minimum 1–3 years of relevant experience in machine learning, data science, or MLOps environments.
- Demonstrated understanding of machine learning workflows, including data preprocessing, model training, evaluation, deployment, and monitoring.
- Experience working with machine learning models, deep learning frameworks, and Large Language Models (LLMs) in research or production settings.
- Experience working within international research organizations, CGIAR centers, or agricultural research projects will be an added advantage.
Education, knowledge and experience
•Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Agricultural Informatics, or a related quantitative field.
•Minimum 1–3 years of relevant experience in machine learning, data science, or MLOps environments.
•Demonstrated understanding of machine learning workflows, including data preprocessing, model training, evaluation, deployment, and monitoring.
•Experience working with machine learning models, deep learning frameworks, and Large Language Models (LLMs) in research or production settings.
•Experience working within international research organizations, CGIAR centers, or agricultural research projects will be an added advantage.
How to Apply
Interested candidates who meet the required qualifications are encouraged to apply through the official application portal of the organization. Before submitting your application, make sure you carefully review all job requirements and eligibility criteria.
Follow these steps to apply:
- Visit the official job application link provided below
- Read the complete job description and requirements carefully
- Prepare an updated CV highlighting relevant skills and experience
- Attach all required documents such as certificates or references
- Submit your application before the specified deadline
Applicants are strongly advised to apply as early as possible, as some organizations may close the application process once a sufficient number of candidates have applied.
