AI Engineer
Job Summary:
We are seeking a Machine Learning Platform Engineer (MLOps) to bridge the gap between data science and production systems within our ML & AI platform team. The role spans the full ML lifecycle-from development to deployment-focusing on building robust data pipelines, managing model lifecycles, and enabling scalable AI integrations. You will also drive agentic workflows to support autonomous, AI-powered solutions in collaboration with cross-functional teams.
Job Responsibilities: Design, develop and deploy machine learning solutions and services Implement end-to-end machine learning pipelines from data ingestion to training and model serving Operationalize LLMs, embeddings, and multi-agent systems in real-world applications Manage the machine learning and model lifecycle (experimentation, registry, deployment) Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to p...