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About the Role
Responsibilities
- Develop and maintain ML platforms and pipelines supporting autonomous, goal-driven AI agents
- Build systems for the full ML lifecycle, including agentic decision-making, task orchestration, and goal execution
- Integrate ML models with product logic and business workflows to operationalize AI capabilities
- Design and optimize infrastructure for large-scale training, inference, and multi-agent coordination
- Implement observability and monitoring for ML pipelines, agent behaviors, and goal-driven execution
- Build systems for automated evaluation, drift detection, and retraining of AI models
- Collaborate with data science and product teams to turn research outputs into production AI agents
- Hands-on experience building production ML systems integrated with product goals and business logic
- Expertise in ML engineering, agentic workflows, and MLOps practices
- ...
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