Jobs → Engineering → AI/ML Platform Engineer

About the Role We are seeking an AI/ML Platform Engineer to build enterprise-scale Machine Learning platforms supporting model development, deployment, monitoring, and governance. Key Responsibilities • Design enterprise AI/ML platforms and reusable ML pipelines • Build scalable MLOps and LLMOps workflows • Develop model training and deployment pipelines • Implement Feature Stores and Model Registry • Build CI/CD pipelines for ML applications • Monitor model performance, drift, and data quality • Develop REST APIs for model serving • Deploy workloads on Azure, AWS, or GCP • Implement Responsible AI and model governance • Collaborate with Data Science and DevOps teams Requirements • Python • SQL • Machine Learning • MLOps • LLMOps • MLflow • Kubeflow • Feature Store • Model Registry • Docker • Kubernetes • FastAPI • REST APIs • Git • Azure / AWS / GCP • CI/CD