About the position
The Digital Transformation of Agri-Food Systems and the Climate Action Research teams require a professional with experience in Machine Learning Operations (MLOps), who has a background or interest in topics related to digital agriculture, climate change, and food security. This position will design and standardize processes of the technology capabilities for building, deploying, and operating ML systems rapidly and reliably. Also, the selected candidate will provide leadership in defining and implementing strategies and tools, working with the stakeholders.
Requirements
Qualifications and Requirements:
BSc in Computer Science, Mathematics, or a similar field; Master s or PhD degree in related areas,
Experience in related fields minimum of five (5) years
High proficiency with R or Python, with specific expertise in the machine and deep learning frameworks
High experience in cloud computing including with Google Cloud and AWS
High Experience with Docker and Git
Experience with different types of databases: Relational, NoSQL, Graph, Document, Columnar, Time Series
Workflow orchestration platforms such as Airflow, Kubeflow, MLflow, or similar
Self-starter and comfortable working in an early-stage environment
Excellent oral and written communication skills
Strong sense of leadership and growth mindset
Benefits
Terms of employment
This is a Colombian national search and will be managed through a fixed term contract of a one (1) year period, subject to a probation period of two (2) months and is renewable depending on performance and availability of resources. The Alliance Bioversity-CIAT offers a multicultural, collegial research environment with competitive salary and excellent benefits. We are an equal opportunity employer, and strive for gender, diversity, and inclusion in our staff, without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, or any other characteristic.
Applications
Applicants are invited to send a cover letter illustrating their suitability for the above position against the qualifications, competencies, and skills together with a detailed curriculum vitae, including names and addresses of three referees knowledgeable about the candidate s professional qualifications and work experience.
Qualifications and Requirements: BSc in Computer Science, Mathematics, or a similar field; Master s or PhD degree in related areas, Experience in related fields minimum of five (5) years High proficiency with R or Python, with specific expertise in the machine and deep learning frameworks High experience in cloud computing including with Google Cloud and AWS High Experience with Docker and Git Experience with different types of databases: Relational, NoSQL, Graph, Document, Columnar, Time Series Workflow orchestration platforms such as Airflow, Kubeflow, MLflow, or similar Self-starter and comfortable working in an early-stage environment Excellent oral and written communication skills Strong sense of leadership and growth mindset