AI Engineer (Software Development)

Job Detail

Architect, build, and maintain end-to-end AI/ML pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring. Collaborate with data scientists and domain experts to operationalize experimental models, optimizing for performance, scalability, and latency while ensuring high-quality datasets. Implement and advocate AI/MLOps best practices, including CI/CD for ML, model versioning, feature stores, and automated retraining pipelines. Optimize model inference for production environments using techniques such as pruning, quantization, TensorRT, and ONNX. Integrate AI models into enterprise systems via APIs and cloud-native services (AWS, Azure), ensuring seamless alignment with business processes and objectives. Deliver production-ready AI solutions that scale, meet SLAs, and comply with data privacy, security, and ethical AI standards. Monitor model performance, detect drift, and continuously optimize deployed models. Provide technical support, training, and documentation for end users and stakeholders. Participate in business analysis, technical design sessions, and cross-department collaboration to ensure smooth operation and adoption of AI solutions. Track and report on key metrics including deployment efficiency, model performance, user satisfaction, and business adoption of AI solutions.