Senior AI Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Engage with the platform, concentrating on MLOps/LLMOps, backend development, and integrations.

• Create and sustain automation pipelines for the continuous deployment of ML and LLM models.

• Oversee model performance, identify drift, and automate the reprocessing and retraining processes.

• Design and integrate APIs to facilitate communication between AI models and internal systems utilizing FastAPI.

• Collaborate with advanced orchestration tools like Kubernetes and Airflow to guarantee scalability and resilience.

⛳️ Requirements

• Expertise in MLOps, including automation, testing, versioning, monitoring, and model governance.

• Practical experience in LLMOps, covering deployment, prompt management, and output monitoring.

• Strong foundation in backend development, RESTful APIs, and FastAPI.

• Proficient in SQL with a solid grasp of data modeling concepts.

• Comprehensive knowledge of statistics for the analysis and validation of model outcomes.

• Familiarity with AWS, Docker, and Kubernetes.

• Capability to take ownership of projects.

• Comfortable bridging the gap between technology and business domains.

🏝️ Benefits

• Medical and Dental plan (Bradesco).

• Life insurance.

• Flash Card (meal/food allowance and flexible benefit).

• Annual Profit Sharing.

• Wellhub (formerly Gympass).

• Training Program (education assistance).

• Sesc.