
SaaS • Artificial Intelligence • Cloud Computing
CodeNinja Inc. is a technology consulting company offering comprehensive software engineering services. The company specializes in AI-driven software development, cloud computing, and enterprise solutions. CodeNinja provides IT outsourcing, application development, cloud-managed services, and end-to-end digital transformation services to businesses across various industries. They focus on delivering innovative, reliable technology solutions with a client-first approach. CodeNinja supports businesses with staff augmentation and managed IT services, ensuring high performance and scalability in IT infrastructure.
201 - 500 employees
☁️ SaaS
🤖 Artificial Intelligence
November 24
🗣️🇪🇸 Spanish Required

SaaS • Artificial Intelligence • Cloud Computing
CodeNinja Inc. is a technology consulting company offering comprehensive software engineering services. The company specializes in AI-driven software development, cloud computing, and enterprise solutions. CodeNinja provides IT outsourcing, application development, cloud-managed services, and end-to-end digital transformation services to businesses across various industries. They focus on delivering innovative, reliable technology solutions with a client-first approach. CodeNinja supports businesses with staff augmentation and managed IT services, ensuring high performance and scalability in IT infrastructure.
201 - 500 employees
☁️ SaaS
🤖 Artificial Intelligence
• Design, develop, and deploy AI/ML models using Python, TensorFlow, and PyTorch. • Build and maintain end-to-end data pipelines, ETL processes, and ML deployment workflows. • Optimize model performance, reliability, and scalability in production environments. • Collaborate with cross-functional teams to define requirements and deliver impactful solutions. • Troubleshoot issues across data, modeling, and system layers. • Contribute to best practices for AI engineering, experimentation, and documentation.
• Strong expertise in: • Python • TensorFlow • PyTorch • Scientific computing libraries (NumPy, Pandas, Scikit-learn) • Experience in data engineering workflows (ETL, ML pipelines, model deployment). • Hands-on experience with AI/ML production systems (preferred). • 6–8 years of hands-on experience in AI Engineering, Machine Learning Engineering, or related roles. • Proven track record of delivering production-ready AI/ML systems. • Fluent English — Mandatory • Fluent Spanish — Mandatory • Italian — Nice to have
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