AI Engineer Jobs in Brazil

Rex.zone; Brasil; Presencial; BRL 207 157 - 345 263; Tempo integral

Resumo da oferta

A tech company specializing in AI is seeking an AI Engineer to design, train, and implement ML models with a focus on LLM training. Candidates should have mid-senior experience, strong Python skills, and familiarity with deep learning frameworks like PyTorch. The position is remote and full-time, offering a competitive hourly rate of $30–$50 USD. Responsibilities include creating ML systems, developing evaluation tools, and improving training data quality among others.

Qualificações

• Mid-Senior experience in building ML systems.
• Strong skills in Python engineering.
• Hands-on deep learning experience with PyTorch or equivalent.

Responsabilidades

• Build and iterate on ML/LLM systems from prototype to production.
• Develop evaluation harnesses for offline and online testing.
• Implement RLHF-style feedback loops using human preference data.

Conhecimentos

Python engineering

Deep learning with PyTorch

Model evaluation and metrics

ML systems building

LLM training pipelines

Collaboration in remote settings

Descrição da oferta de emprego

About The Role

As an AI Engineer, you will design, train, evaluate, and deploy ML models with a strong emphasis on LLM training pipelines and measurable model performance improvement. You will build data and evaluation workflows that connect model development to training data quality, annotation guidelines compliance, and QA evaluation.

What You Will Do

• Build and iterate on ML/LLM systems from prototype to production
• Develop evaluation harnesses for offline and online testing, including prompt evaluation and LLM evaluation
• Implement RLHF‑style feedback loops using human preference data when required
• Improve training data quality by defining labeling strategy, validation checks, and annotation guidelines
• Partner with QA evaluation and data labeling teams to reduce noise and bias
• Optimize inference latency and cost
• Document experiments, metrics, and rollouts

Required Qualifications

• Mid‑Senior experience building ML systems
• Strong Python engineering
• Hands‑on deep learning with PyTorch or equivalent
• Experience with model evaluation and metrics
• Familiarity with LLM training pipelines and/or NLP systems
• Comfort collaborating remotely across product, engineering, and data operations

Preferred Qualifications

• Experience with RLHF, preference data, or reward modeling
• MLOps experience (CI/CD for ML, model registry, monitoring)
• Experience with data labeling and QA evaluation processes
• Experience with RAG and vector databases

Remote Work

This role is Remote and full‑time. Collaboration includes async documentation, clear experiment writeups, and structured evaluation reviews.

Pay

Competitive hourly rate: $30–$50 per hour (USD).