Machine Learning Operations Consultant
Quick answer
The Alliance of Bioversity International and CIAT is hiring a Machine Learning Operations Consultant (based in Arusha, Tanzania) to support the NDIZI project, focusing on developing, deploying, and operationalizing machine learning systems for the SIKIA platform.
- Role
- Machine Learning Operations Consultant
- Organization
- The Alliance of Bioversity International and CIAT
- Location
- Arusha, Tanzania
- Work setup
- On-site
- Level
- Senior
- Category
- Engineering & Technology
The role
The Alliance of Bioversity International and CIAT is seeking a Machine Learning Operations (MLOps) Consultant to support the NDIZI project. This role involves developing, deploying, and operationalizing machine learning systems for the SIKIA platform, focusing on speech, NLP, and multimodal AI. The consultant will work on end-to-end MLOps workflows, collaborating with various teams to ensure robust and scalable solutions. This is an 11-month full-time consultancy position based in Arusha, Tanzania.
What you'll do
- Support deployment and optimization of multilingual ASR pipelines for cloud and mobile environments
- Develop workflows for speech data ingestion, transcription, evaluation, and continuous model improvement
- Support development of multimodal pipelines linking speech, transcripts, metadata, and field images collected through SIKIA
- Support development and deployment of AI workflows for disease detection and severity scoring using field images and multimodal data
- Develop CI/CD pipelines for model training, evaluation, and deployment
What it takes
- At least 3 years of experience in Machine Learning engineering or MLOps
- Experience building and managing ML workflows, including model training, deployment, monitoring, and versioning
- Strong programming skills in Python and familiarity with ML frameworks such as PyTorch or TensorFlow
- Experience with cloud platforms such as GCP, AWS, or Azure
- Strong experience with NLP, speech technologies, conversational AI, or LLM-based applications
- Experience with multimodal AI, computer vision, or image-based AI workflows is desirable
What you'll bring
Frequently asked questions
Where is the job located?
The job is based in Arusha, Tanzania.
What is the compensation?
The compensation is not specified.
What are the key qualifications required?
Key qualifications include at least 3 years of experience in Machine Learning engineering or MLOps, experience building and managing ML workflows, strong programming skills in Python, and familiarity with ML frameworks such as PyTorch or TensorFlow.
How do I apply?
Applications should be submitted by October 30, 2026.
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.
This listing is aggregated from a third-party source and its summary may be auto-generated, so details can be inaccurate or out of date. ForGood is not the employer and is not liable for the content — please verify everything on The Alliance of Bioversity International and CIAT's official posting before applying.
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