Senior Applied AI Researcher (Brazil)

Tasks

• Build agent orchestrated data and training infrastructure
• Build knowledge graph pipelines
• Build multi stage training pipelines
• Continuously evaluate model quality
• Create structured reasoning systems
• Deploy prototypes to production systems
• Design agent driven experiment campaigns
• Develop hybrid retrieval architectures
• Document research findings and build internal knowledge systems
• Identify workflow bottlenecks and improve scalability
• Implement agentic CI CD and automated integration testing
• Mentor AI researchers
• Optimize models using reinforcement learning from human feedback
• Own end to end research projects from formulation to deployment
• Train multimodal systems

Perks/Benefits

• N/A

Skills/Tech-stack

CI/CD | DPO | Data parallelism | Deep learning | DeepSpeed | Distributed Training | FSDP | Human Feedback | Hybrid retrieval | Knowledge graphs | Kubernetes | Learning from Human Feedback | Machine Learning | Megatron-LM | Model Parallelism | Multimodal Learning | Python | Reinforcement Learning | Reinforcement Learning From Human Feedback Optimization | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Reward Modeling | Structured reasoning