Jobs → Engineering → AI/ML & MLOps Engineer

About the Role We are looking for an experienced AI/ML & MLOps Engineer to join an innovative team and drive the end-to-end ML lifecycle, from model development to deployment and monitoring. Key Responsibilities • Design, develop, train, and optimize machine learning models for real-world business challenges • Build and maintain scalable ML pipelines covering data preparation, model training, validation, deployment, and monitoring • Implement and enhance MLOps practices including CI/CD automation, model versioning, experiment tracking, and model governance • Deploy and manage ML workloads on cloud platforms such as AWS, Azure, or GCP • Utilize Docker, Kubernetes, MLflow, and other modern MLOps technologies to support production-scale AI solutions • Monitor model performance, drift detection, latency, and infrastructure utilization to ensure reliability and scalability • Collaborate with Data Scientists, Software Engineers, Data Engineers, and business stakeholders to operationalize AI solutions Requirements • Strong Python programming experience • Hands-on expertise with Scikit-Learn, TensorFlow, and PyTorch • Strong understanding of MLOps, ML lifecycle management, and model deployment • Experience with MLflow/Kubeflow, CI/CD pipelines, Docker, Kubernetes, and Git • Cloud experience with at least one: AWS, Azure, or Google Cloud Platform • Experience with REST APIs, model serving, monitoring, logging, and production support • Excellent analytical, communication, and problem-solving skills