Job Description
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:
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 validatio...
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