AI Engineer at OteemoInc

We are seeking an experienced AI Engineer to join our team and lead the development of cutting-edge artificial intelligence solutions. In this role, you will architect end-to-end AI systems, from proof of concept through production deployment, ensuring they meet performance targets while adhering to ethical AI practices. You will work with cross-functional teams to translate business requirements into scalable AI solutions that deliver real impact.&#xa0; Key Responsibilities&#xa0; System Architecture & Development&#xa0; • Design and implement AI architectures including model selection, data pipelines, training infrastructure, and inference systems.&#xa0;&#xa0; • Develop production-ready AI models achieving <100ms inference latency and optimal accuracy targets.&#xa0;&#xa0; • Build and optimize machine learning models using deep learning, NLP, computer vision, and reinforcement learning techniques.&#xa0;&#xa0; • Implement model optimization techniques including quantization, pruning, and knowledge distillation.&#xa0;Production Deployment&#xa0; • Deploy AI solutions across diverse platforms including REST APIs, gRPC, serverless, and edge devices.&#xa0;&#xa0; • Establish CI/CD pipelines, automated testing, and model versioning systems.&#xa0;&#xa0; • Implement A/B testing frameworks and monitoring dashboards for continuous improvement.&#xa0;&#xa0; • Ensure 99.9% uptime and reliability for production AI systems.&#xa0;&#xa0;MLOps & Infrastructure&#xa0; • Design and maintain MLOps infrastructure using tools like MLflow, Kubeflow, or similar platforms.&#xa0;&#xa0; • Implement model registries, feature stores, and experiment tracking systems.&#xa0;&#xa0; • Optimize resource utilization and manage distributed training environments.&#xa0; • Configure monitoring, alerting, and rollback procedures for production models.Ethical AI & Governance&#xa0; • Implement bias detection and fairness metrics across all AI systems.&#xa0;&#xa0; • Develop explainability tools and model documentation.&#xa0;&#xa0; • Ensure compliance with data privacy regulations and governance frameworks.&#xa0;&#xa0; • Conduct robustness testing and establish audit trails.&#xa0;&#xa0;Collaboration & Leadership&#xa0; • Partner with data scientists, software engineers, and product teams to deliver integrated solutions.&#xa0;&#xa0; • Mentor junior engineers and drive AI best practices across the organization.&#xa0;&#xa0; • Communicate technical concepts to non-technical stakeholders.&#xa0;&#xa0; • Lead technical discussions and architectural reviews.&#xa0;&#xa0;