Machine Learning Operations Consultant

The role

The Alliance of Bioversity International and CIAT is seeking a Machine Learning Operations (MLOps) Consultant to support the NDIZI project, which focuses on developing and operationalizing machine learning systems for the SIKIA AI platform. The consultant will work on various aspects of MLOps, including data ingestion, model training, deployment, and monitoring. This role requires collaboration with research and engineering teams to ensure robust and scalable solutions for agricultural applications. The position is based in Arusha, Tanzania, and is a full-time consultancy for 11 months with potential for extension.

What you'll do

• Support deployment and optimization of multilingual ASR pipelines
• Develop workflows for speech data ingestion, transcription, evaluation, and continuous model improvement
• Implement automated retraining and fine-tuning pipelines using newly collected field data
• Support development of multimodal pipelines linking speech, transcripts, metadata, and field images
• Support development and deployment of AI workflows for disease detection and severity scoring

What it takes

• Master’s degree in computer science or related field
• 3+ years of experience in Machine Learning engineering or MLOps
• Experience with ML workflows, model training, and deployment
• Strong programming skills in Python
• Familiarity with ML frameworks like PyTorch or TensorFlow
• Experience with cloud platforms (GCP, AWS, Azure)
• Strong experience with NLP and speech technologies
• Experience with multimodal AI or computer vision is desirable
• Ability to work collaboratively across technical, product, and field teams
• Strong communication, documentation, and problem-solving skills
• Background in agriculture or international research is a plus

What you'll bring

How to apply

Apply directly on The Alliance of Bioversity International and CIAT's site. We link straight through — no resume parsing, no profile to fill out.

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