This requisition is not an active hiring opportunity. We are gathering resumes to support future project requirements and to build our talent pipeline. ERM is seeking an AI Data Engineer Consultant in North America to join our
We are looking for an experienced Principal DevOps Engineer to provide technical leadership and contribute to the architecture, automation, deployment, and operation of cloud-based software products. This is a highly technical role within an Agile engineering environment
We are looking for an experienced Senior Quality Assurance Engineer to ensure the quality, reliability, and performance of web and mobile-based SaaS applications . This position will initially serve as the primary QA Engineer within a small project
We are looking for an experienced AI Domain Architect to help design and build the domain intelligence layer behind enterprise AI solutions. ? Role Description As an AI Domain Architect , you will be responsible for
Senior Data Scientist — Clean Cooking (PAYG LPG) Department: Clean Cooking Employment Type: Permanent - Full Time Location: Kenya Reporting To: Head of Data Science, Clean Cooking Description About the role At Sun King, weve solved
Reporting to the Lead Transaction Monitoring & Systems , The role supports the development, optimization, and continuous enhancement of Safaricom’s financial crime systems, including Anti-Money Laundering (AML), Transaction Monitoring, Sanctions Screening, Customer Risk Rating, Fraud Detection,
Terms of Reference (TOR) for QA Engineer(Functional & Automation) Location Rwanda / Kenya / Ethiopia / South Sudan / Chad (Hybrid/Remote) Duration of Contract 3 months (extendable based on project milestones and workload) Reporting To: Head of
Role Overview The Inside Spare Parts Engineer is a strategic engineering role responsible for managing the technical and commercial deal lifecycle for spare parts and engineering solutions at Synkron Africa. The role serves as the central coordination
Key Responsibilities Specification-Driven Extraction Engineering: 1. Design and maintain declarative extraction specifications—using Pydantic models, JSON schemas, or domain-specific languages—that describe exactly which fields to capture, their types, and validation rules. 2. Implement pipelines that translate these specifications