أدخل المسمى الوظيفي أو الكلمة الرئيسية
MACHINE LEARNING AND OPERATIONS CONSULTANCY
موقع الوظيفة:
الراتب شهرياً:
لم يتم تقديمه من قبل صاحب العمل
الراتب شهرياً:
الخبرة المطلوبة:
6-10سنوات
الخبرة المطلوبة:
تم النشر:
10 اكتوبر 2026 (أمس)
تم النشر:
آخر موعد للتقديم:
7 يناير 2027
آخر موعد للتقديم:
عدد الوظائف الشاغرة:
1 عدد الوظائف الشاغرة
عدد الوظائف الشاغرة:
ملخص الوظيفة
THE ORGANIZATION
The Alliance of Bioversity International () and the International Center for Tropical Agriculture (CIAT) () delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve peoples lives. Alliance solutions address the global crises of malnutrition climate change biodiversity loss and environmental degradation.
With novel partnerships the Alliance generates evidence and mainstreams innovations to transform food systems and landscapes so that they sustain the planet drive prosperity and nourish people in a climate crisis.
The Alliance is part of CGIAR a global research partnership for a food-secure future.
Background:
The NDIZI (NLP to Develop and Innovate Zero-shot Intelligence) project seeks a dedicated Machine Learning Operations (MLOps) Consultant (the consultant) to support the development deployment and operationalization of machine learning systems powering SIKIA a voice-first and multimodal AI platform for conversational data collection and analysis and related AI-driven research workflows. The consultant will work across speech NLP multimodal AI and Agentic pipelines helping transition models and data systems from research prototypes into reliable scalable solutions suitable for real-world field deployment.
We are building these systems to enable crop improvement systems to bridge formal breeding processes happening within controlled experimental trials with real-world environments on-farm. Principal use-cases include identifying farmer preferences assessing plant disease occurrence and scoring and environmental response - particularly related to climate adaptation. Outputs from this consultancy will be used to address these use-cases.
About the position:
The consultant will support end-to-end MLOps workflows spanning data ingestion validation dataset versioning model training evaluation deployment monitoring and continuous improvement across both cloud and edge environments. The role will involve close collaboration with research machine learning software engineering product and field teams to ensure systems are robust maintainable and aligned with project needs.
The consultant will also support integration of ML systems within the SIKIA platform including deployment workflows connecting mobile applications cloud infrastructure speech and multimodal pipelines disease detection and severity scoring workflows backend services and FAIRGrounds-integrated addition the role will contribute to strengthening best practices around experiment tracking model governance CI/CD workflows deployment automation and ML system monitoring across NDIZI infrastructure.
This is a 11-month full-time consultancy position (with potential for extension) based at the Alliance office in Arusha Tanzania.
Key Activities and Specific Terms of Reference
Speech and NLP Systems Refinement
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.
Implement automated retraining and fine-tuning pipelines using newly collected field data.
Support deployment of LLM-based workflows for conversational analysis and trait extraction.
Monitor model performance latency reliability and drift under field conditions.
Optimize inference workflows for low-connectivity and resource-constrained environments.
Multimodal Pipeline Development and Deployment
Support development of multimodal pipelines linking speech transcripts metadata and field images collected through SIKIA.
Implement workflows for multimodal data validation synchronization storage annotation and dataset versioning.
Support training deployment and evaluation of multimodal and visual-language AI models.
Develop scalable workflows for managing multimodal datasets and model outputs across cloud infrastructure.
Support benchmarking reproducibility and optimization of multimodal AI pipelines for field deployment.
Disease Detection and Severity Scoring
Support development and deployment of AI workflows for disease detection and severity scoring using field images and multimodal data.
Implement data and evaluation pipelines for disease annotation validation benchmarking and continuous model improvement.
Support integration of disease scoring workflows within the SIKIA and ONA platforms for field-based data collection and analysis.
MLOps Infrastructure and SIKIA Integration
Develop CI/CD pipelines for model training evaluation and deployment.
Manage experiment tracking model registries and dataset versioning workflows.
Implement monitoring and logging across ML services.
Collaborate with the software development team to integrate RAG pipelines into an Agentic deployment structure.
Support deployment of ML services on GCP FAIRGrounds and related infrastructure.
Support integration of ML services within the SIKIA platform across mobile backend API and cloud systems.
Ensure compliance with data governance security and responsible AI requirements.
Deliverables and Payment Schedule:
Deliverable 1:Inception Report and Technical Work plan (Month 1 Week 4)
Develop an inception report outlining the technical approach deployment priorities infrastructure requirements integration roadmap and detailed 11-month work plan for MLOps speech multimodal and disease-scoring workflows across the SIKIA platform.
Honoraria for Deliverable 1: Tanzanian Shillings/ 589762 Kenyan Shillings.
Deliverable 2: Model Development Evaluation and Infrastructure Setup (Month 5 Week 20)
Establish core MLOps infrastructure and workflows including CI/CD pipelines experiment tracking dataset versioning model registries and monitoring systems. Support development evaluation and optimization of speech multimodal and disease-scoring models across cloud and edge environments.
Honoraria for Deliverable 2: Tanzanian Shillings/ 884642Kenyan Shillings.
Deliverable 3: SIKIA AI Pipeline Integration and Deployment (Month 8 Week 32)
Deliver integrated deployment workflows connecting ML services with SIKIA mobile applications APIs backend systems and FAIRGrounds-integrated infrastructure. Provide operational pipelines for speech processing conversational analysis multimodal workflows and disease-scoring services including deployment documentation and integration support.
Honoraria for Deliverable 3: Tanzanian Shillings/Kenyan Shillings.
Deliverable 4: Monitoring Evaluation and Optimization Framework (Month 10 Week 40)
Implement monitoring logging benchmarking and evaluation workflows for deployed ML systems including ASR performance tracking multimodal pipeline evaluation disease-scoring validation and model drift monitoring. Provide recommendations for optimization scalability and field deployment improvements.
Honoraria for Deliverable 4: Tanzanian Shillings/ 786349 Kenyan Shillings.
Deliverable 5: Final Technical Report and Handover Package (Month 11 end of assignment)
Submit a final technical report summarizing completed workflows deployed infrastructure system performance key learnings and recommendations for future scaling and maintenance. Deliver finalized documentation deployment guides pipeline configurations and knowledge-transfer materials for internal teams.
Honoraria for Deliverable 5: Tanzanian Shillings/Kenyan Shillings.
Requirements
Education:
Masters degree in computer science Data Science Artificial Intelligence Software Engineering or a related field.
Experience:
At least 3 years of experience in Machine Learning engineering MLOps or deployment of AI systems.
Technical Competencies:
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 working 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.
Ability to work collaboratively across technical product and field teams.
Strong communication documentation and problem-solving skills.
Background or experience in agriculture digital agriculture or international research environments will be an added advantage.
Benefits
Terms of employment
This is a nationally recruited position based in either Kenya or Tanzania. The initial contract will be for up to 11 Months with the total estimated consultancy amount ofTanzanian Shillings orKenyan Shillings.
Applications
Note: The Alliance does not charge a fee at any stage of the recruitment process (application interview meeting processing or training). The Alliance also does not concern itself with information on applicants bank accounts.
Applications closing date: 30 October 2026
Please note that email applications will not be considered.
Only short-listed candidates will be contacted.
We invite you to learn more about us at:
Required Skills:
A BSc in agronomy plant breeding or related agricultural fields - Professional working proficiency in English - Demonstrated experience in managing agronomy research trials writing reports and leading field teams - Excellent problem-solving skills and attention to detail - Strong communication and collaboration skills with the ability to work effectively across teams and stakeholders in the agricultural and research fields. - Great organizational skills including time management and the ability to multitask. - Basic knowledge and experience using data collection tools such as ODK and image data quality analysis - Good understanding skill with Microsoft Office and related software (e.g. Excel Google Sheets Word Google Docs etc) At least 3 years of experience in Machine Learning engineering MLOps or deployment of AI systems. Technical Competencies: 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 working 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. Ability to work collaboratively across technical product and field teams. Strong communication documentation and problem-solving skills. Background or experience in agriculture digital agriculture or international research environments will be an added advantage.
Required Education:
Masters degree in computer scie Bachelors degree in accounting Finance Business Administration Public Administration or a related field. Working knowledge of IFRS (International Financial Reporting Standards) and familiarity with donor compliance requirements. Professional certification in Internal Auditing Risk Management Internal Control or Information Systems Auditing (e.g. CIA CRMA CISA or equivalent) is desirable. Experience working with global ERP systems (
