AI Engineer (Model & Pipeline Deployment)

Jobs for Humanity is partnering with Alrkeen to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life. Company Name: Alrkeen We are seeking an experienced Machine Learning Engineer to design, build, and deploy AI models and data pipelines that address real-world business challenges. You will partner with stakeholders to translate measurable objectives into production-grade ML solutions, balancing performance, reliability, security, and scalability. Job Purpose Own the end-to-end delivery of production AI/ML systems—modeling through deployment—improving accuracy and efficiency while ensuring reliable monitoring, security/compliance, and measurable impact. Job Duties and Responsibilities Python PyTorch or TensorFlow Machine learning algorithms Deep learning architectures Data preprocessing and feature engineering Model evaluation (AUC, F1, RMSE) MLOps tools (Docker, CI/CD) Cloud services (AWS/GCP/Azure) APIs for model serving SQL and big data tooling Deploy and monitor models in production reliably Optimize model performance and reduce latency Document solutions and ensure compliance Build scalable data pipelines for training and inference Required Qualifications Python PyTorch or TensorFlow Machine learning algorithms Deep learning architectures Data preprocessing and feature engineering Model evaluation (AUC, F1, RMSE) MLOps tools (Docker, CI/CD) Cloud services (AWS/GCP/Azure) APIs for model serving SQL and big data tooling Experience deploying ML models to production Knowledge of reliability and security best practices Ability to document and support compliance requirements