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Machine Learning Operations Specialist - CIMMYT

Job Description - Machine Learning Operations Specialist - CIMMYT

1. 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.

2. 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.

3. 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.

 

4. 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.
     

5. 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.




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About the Company

Icraf

The Center for International Forestry Research and World Agroforestry (CIFOR-ICRAF) harnesses the power of trees, forests and agroforestry landscapes to address the most pressing global challenges of our time – biodiversity loss, climate change, food security, livelihoods and inequity. CIFOR and ICR...

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