Research Specialist- Machine Learning Operations
2 weeks ago
ABOUT THE COMPANY
Climate change, biodiversity loss, environmental degradation, and malnutrition.
These four interconnected global crises have put at stake the wellbeing of our planet for years. Fueled by COVID-19, their impact on agriculture, landscapes, biodiversity, and humans is now stronger than ever.
Reversing this negative trend is a challenge, but also an opportunity for bold choices and integrated solutions.
Established in 2019, the Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) was created to address these four crises, maximizing impact for change at key points in the food system.
JOB SUMMARY
The Research Specialist will lead the implementation and continuous improvement of Machine Learning Operations (MLOps) processes and infrastructure. They will collaborate with cross-functional teams to ensure the seamless deployment, monitoring, and maintenance of machine learning models in production environments.RequirementsMaster's degree in Computer Science, Engineering, or a related field.A formal background in one or more of the following: Computer Science, Data Science, Software Engineering, Data Engineering, Statistics, MathematicsStrong hands-on experience with machine learning frameworks and tools such as TensorFlow, PyTorch, or scikit-learn.Proficiency in programming languages like Python, as well as experience with software development practices and version control systems.Solid understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and experience with deploying machine learning models in cloud environments.Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools.Knowledge of data engineering principles, including data preprocessing, feature engineering, and data pipeline development.Strong problem-solving skills and the ability to work in a collaborative environment.Ability to analyze data, identify patterns, and draw meaningful conclusions while ensuring accuracy and thoroughness in research and data collection.Ability to think outside the box to develop innovative research approaches and solutions.Applications MUST include reference number RFPxxxxx – Research Specialist-MLOPS as the position applied for. Cover letter and CV should be saved as one document using the candidate's last name, first name for ease of sorting
RESPONSIBILITIES
Design and implement MLOps strategies and frameworks (CI/CD pipelines) to streamline the development, deployment, and monitoring of machine learning models.Collaborate with data scientists, software engineers, and DevOps teams to deploy and operationalize machine learning models in production environments. Develop and maintain scalable and reliable pipelines for data preprocessing, feature engineering, model training, and model serving.Establish and maintain best practices for version control, model reproducibility, and model performance tracking.Implement and manage infrastructure for model monitoring, logging, and alerting to ensure the reliability and performance of deployed models.Automate testing and validation processes to ensure the accuracy and robustness of machine learning models.Collaborate with IT and security teams to ensure data privacy, compliance, and security standards are met throughout the MLOps lifecycle.Provide technical guidance and training to internal teams on MLOps practices and tools. Stay up-to-date with the latest trends and advancements in the MLOps field.
REQUIRED SKILLS
Business strategy, Research and development, Data collection, Machine Learning (ML), Research planning, Problem solving
REQUIRED EDUCATION
Post-graduate education
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Nairobi, Nairobi Area, Kenya Bioversity International Full timeEstablished in 2019, the Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) was created to address these four crises, maximizing impact for change at key points in the food system.SummaryThe Research Specialist will lead the implementation and continuous improvement of Machine Learning Operations (MLOps)...
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