AI ML Architect

Overview Principal AI/ML Architect responsible for defining, architecting, and operationalizing enterprise-grade MLOps platforms using Dataiku and Google Cloud Vertex AI. The role focuses on scalable model deployment, lifecycle management, governance, and production reliability, while partnering with data science, engineering, and business teams to deliver measurable AI-driven outcomes. Key Responsibilities Lead enterprise MLOps architecture and strategy. Architect Dataiku based ML platform, Vertex AI is a plus Productionalize real-time and batch ML inference pipelines. Design scalable ML data pipelines with BigQuery and GCS. Implement monitoring, drift detection, and governance frameworks. Provide technical leadership and mentorship across AI/ML teams. Collaborate with data, platform, and business stakeholders. Required Skills & Experience 8+ years in AI/ML architecture; 2+ years Dataiku; 3+ years GCP/Vertex AI. Expert Python skills; experience with TensorFlow, PyTorch, scikit-learn. Strong background in MLOps CI/CD, Kubernetes, and cloud-native architecture. Experience delivering deep learning and NLP solutions. Strong stakeholder communication and problem-solving skills. Required Qualifications Bachelor’s or Master’s degree in a quantitative field. Proven experience with enterprise ML platforms and production systems. Knowledge of security, IAM, and cloud-native scaling. #J-18808-Ljbffr Arkhya Tech. Inc.