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AI Systems / Applied ML Engineer (Health & Supply Chain)

Opian Information Communication Technology PLC

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ICT

Computer Science and Information Technology

Addis Ababa

1 Position

2025-12-26

to

2026-01-27

Required Skills

computer science

Fields of study

Computer science

Full Time

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Job Description

Location: Addis Ababa (preferred) or remote with strong local engagement
Type: Full-time
Reports to: CTO / Head of R&D

Design, test, and deploy applied AI/ML models that improve forecasting accuracy, data quality, and decision support in Ethiopia’s health and supply-chain systems. This role focuses on intelligence, not dashboards or demos.

You will work on real national systems used by thousands of health facilities, under real constraints: incomplete data, policy rules, budget ceilings, and human decision-making.

Key Responsibilities

Forecasting & Analytics

  • Design and improve demand-forecasting models for health commodities (RMNCH, HIV, TB, Malaria, Vaccines).

  • Implement and maintain models that handle sparse, delayed, and biased data.

  • Continuously evaluate model performance using metrics such as MAPE, bias, forecast attainment.

Data Intelligence

  • Build anomaly detection and data-quality guardrails at facility, woreda, and national levels.

  • Develop confidence scoring and explainability layers for forecasts.

  • Translate messy operational data into usable analytical signals.

Human-in-the-Loop AI

  • Design models that support, not replace, human planners.

  • Ensure forecasts can be interrogated, adjusted, and justified.

  • Embed national forecasting guidelines and assumptions into model logic.

Collaboration & Institutional Work

  • Work closely with supply-chain experts, MoH/EPSS counterparts, and product engineers.

  • Support pilots, evaluations, and national scale-up.

Contribute to technical documentation and knowledge transfer

Job Requirements

Technical

  • Strong experience in applied machine learning or statistical modeling.

  • Solid background in time-series forecasting (Bayesian, hierarchical, classical ML).

  • Proficiency in Python and data science libraries.

  • Experience evaluating models in production environments.

Domain & Systems Thinking

  • Experience working with real-world operational data (health, logistics, public systems, or similar).

  • Ability to reason about uncertainty, constraints, and trade-offs.

  • Comfort working with imperfect data and gradual improvement.

Ways of Working

  • Evidence-driven, not model-driven.

  • Comfortable explaining technical decisions to non-technical stakeholders.

  • Strong documentation and reproducibility habits.

Nice to Have

  • Experience in health systems, supply chains, or public-sector analytics.

  • Familiarity with low-resource or low-connectivity environments.

  • Experience working with government or donor-funded programs.

What Success Looks Like (First 12 Months)

  • Measurable improvement in forecast accuracy and bias.

  • Reduced data anomalies at source through better guardrails.

  • Models trusted and routinely used by planners.

  • AI outputs integrated into real planning cycles.

How To Apply

Apply at:  recruitment@opiantech.com

Fields Of Study

Computer science

Skills Required

computer science

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