Sproxil uses mobile technology to combat counterfeiting and increase brand equity with innovative, consumer-focused product protection and targeted marketing solutions. Its award-winning Sproxil Defenderâ„¢ technology drives revenue and engages consumers at point of sale through brand assurance, fraud protection, and loyalty rewards. Sproxil...
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Sproxil is a global brand protection & consumer engagement solutions provider specialized in the provision of cutting edge advanced technology to combat counterfeiting, product theft and adulteration; as well as providing a platform for consumer engagement.We are seeking an experienced and technically skilled AI Backend Engineer to help build and optimize the infrastructure that powers our AI-driven applications
Key Responsibilities
Design and implement scalable APIs and microservices for AI model deployment and data ingestion.
Collaborate with ML engineers to integrate and serve machine learning models (e.g., via REST).
Build and maintain data pipelines to support training and inference workflows.
Manage and optimize model storage, versioning, and lifecycle in production.
Ensure backend systems are performant, secure, and fault-tolerant.
Automate and monitor AI service deployments using containerization and orchestration tools (e.g., Docker, Kubernetes).
Implement logging, monitoring, and alerting for AI backend services.
Participate in code reviews, architecture design, and performance tuning.
Requirements
Experience: 6months - 1 years experience in backend development (NYSC and SIWES preferred)
Education: Bachelor's degree in Computer Science or any related fields
Proficiency in backend languages like Python, Node.js, Java, or Go.
Experience with frameworks such as FastAPI, Flask, Django, or Express.
Strong understanding of REST APIs, authentication (OAuth2, JWT), and data serialization formats (JSON).
Familiarity with AI model serving tools (e.g., TensorFlow Serving, TorchServe, Triton Inference Server).
Proficient in working with databases (SQL and NoSQL)
Experience with Git, CI/CD pipelines, and container orchestration (Docker, Kubernetes).
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