AI/ML Engineer

Role Overview

Your Impact

• Translate business needs into AI use cases with clear success measures and delivery priorities.
• Develop, test, and deploy machine learning models from prototype to production.
• Build generative AI solutions using LLMs, RAG, and vector search.
• Develop computer vision solutions for image classification, object detection, and verification.
• Prepare and validate data, engineer features, and evaluate models against appropriate baselines.
• Integrate AI services with enterprise applications, databases, and cloud platforms through secure APIs.
• Implement MLOps for versioning, deployment, performance monitoring, drift detection, and retraining.
• Apply AI security, privacy, and governance controls, and document solutions for support and adoption.

Your Expertise

• Bachelor’s or master’s degree in Computer Science, AI, Data Science, Engineering, or a related field.
• Demonstrated experience delivering production AI or ML solutions with evidence of business impact.
• Strong Python skills and experience with scikit-learn, PyTorch, or TensorFlow.
• Hands-on experience with LLMs, RAG, embeddings, prompt engineering, and model evaluation.
• Experience with computer vision, image processing, classification, or object detection.
• Proficiency in SQL, data preparation, feature engineering, and diverse datasets.
• Experience developing REST APIs and integrating AI services with enterprise systems.
• Familiarity with Azure, AWS, or Google Cloud, alongside Git, Docker, and CI/CD practices.
• Knowledge of MLOps, model monitoring, privacy, and responsible AI; Kubernetes is advantageous.
• Strong analytical and communication skills, collaborative approach, and commitment to learning.

About AMOUAGE