Data & ML Engineer

About Ijeoma

Ijeoma Intelligence is a real-time safety intelligence platform designed for organisations and individuals working in high-risk environments. By computing risk per person, route, and moment, Ijeoma combines live threat signals, environmental exposure, and behavioural patterns to continuously assess current safety levels. Built on the principle of proactive safety intelligence, the platform assumes users are unsafe until proven otherwise, ensuring continuous safety verification. Initially launching in Nigeria, Ijeoma aims to serve the world's most complex and challenging operating environments.

The Role

We need an engineer to own the data infrastructure, machine learning pipeline, and backend systems that power the Ijeoma platform. This includes the data pipeline, ML model deployment, backend architecture, enterprise web platform, and admin tooling. You will work directly with the founder, who will provide detailed technical specifications under contract.

What You'll Work On

• Design and maintain the backend data architecture across multiple data sources
• Build and harden data ingestion pipelines with classification, validation, and deduplication across multiple languages including Hausa, Pidgin, Yoruba, and French
• Build and deploy machine learning models for predictive risk scoring, behavioural anomaly detection, and temporal pattern recognition
• Develop the enterprise web platform for organisational clients — real-time monitoring, team oversight, compliance reporting
• Extend the existing admin dashboard with operational management tools
• Build backend services that synthesise multiple data streams into actionable intelligence
• Define and maintain API contracts consumed by the mobile application
• Ensure structured event capture across all system touchpoints with proper schema design
• Integrate environmental data layers including satellite-derived land cover, incident density, and temporal risk patterns into the risk computation pipeline

Full technical specifications and system architecture will be shared under NDA.

Requirements

• 3+ years backend engineering with production systems
• Strong database design skills — Firestore, PostgreSQL, or equivalent
• Experience building data pipelines and ingestion systems
• Advanced Python proficiency
• Experience with machine learning model building and deployment in production
• React or Next.js for web platform development
• Experience building B2B SaaS platforms or enterprise dashboards
• Comfortable with geospatial data and real-time systems
• Security-conscious — API hardening, role-based access, data protection
• Self-directed and able to make sound architectural decisions independently
• Experience working in or building for low-connectivity environments

Nice to Have

• At least 1 enterprise platform built and deployed
• Experience with safety, security, intelligence, or logistics platforms
• Web scraping and data quality systems
• Multi-lingual NLP or text processing experience
• Building for emerging market infrastructure constraints
• Experience with predictive modelling, classification, or time-series forecasting

Compensation & Working Arrangement

• Fully remote — Nigeria based
• Direct reporting to the founder
• Weekly syncs, two-week delivery sprints
• GitHub for code, Slack for communication
• Full codebase and documentation access from day one (shared under NDA)
• Possibility of extension based on performance