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.
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Optimize functionality and scalability of data science prototypes by iteratively experimenting with different algorithms, train and fine-tune parameters/hyper-parameters while maintaining desired quality measures
Proficiency in AI/machine learning (ML) frameworks and libraries to verify data quality, train, assess and deploy machine learning AI/ML models
Perform statistical tests to assess model performance, robustness and reliability (e.g. recall, precision, F1 scores etc.). Experience in training/re-training models when necessary
Familiarity with distributed data stores and parallel processing that can handle/augment large scale data processing and analysis
Development/use of APIs to connect the outputs of AI/ML models with business intelligence platforms/graphical interfaces
Extensive documentation of artificial intelligence/machine learning processes detailing the complete workflow from data gathering to pre-processing to model training and deployment
Contribution to and maintenance of data science/data transformation infrastructure (data warehouses/data lakes etc.)
Requirements
A minimum of a bachelor’s degree (master's degree will be an advantage) in mathematics, data science, computer science or a related field
Previous work experience as a statistician/data scientist/computer scientist is preferable
Proficiency in programming languages in R, Python, Java, Matlab etc.
Prior experience in handling/managing various data types and formats (remote sensing, surveys, text data etc.)
Demonstrated experience in the use of statistical approaches (e.g. linear and non-linear regression)
Demonstrated experience in use of AI/ML based approaches such as reinforcement learning, ensemble techniques, large language models etc.
Demonstrated experience in AI/ML based frameworks such as TensorFlow, PyTorch, scikit-learn, Keras etc.
Demonstrated experience in data visualization tools and libraries such as Matplotlib, Seaborn etc.
Demonstrated experience in leveraging data from on-prem and/or cloud-based data pipelines such as Apache Airflow, AWS Glue etc.
Well-versed in delivering effective communications and experience in addressing the needs of business teams
Native English speaker, or fluent with idiomatic command of English, and demonstrably high verbal and written English skills
Excellent interpersonal skills including the ability to work effectively with other national and cultural backgrounds
Superior analysis and insight generation capacity
Excellent eye for detail, critical thinking, high standards of excellence, personal organization, prioritization and time management skills, flexibility, and the ability to deliver on agreed deadlines.
Ability to work with a considerable amount of autonomy.
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