Machine Learning Engineer – AI / Generative AI

Job Title: Machine Learning Engineer – AI / Generative AI

Location: Paulista Avenue, São Paulo

Work Mode: Hybrid

Employment Type: Full-Time Employee (CLT)

Job Description

We are looking for an experienced Machine Learning Engineer with strong expertise in Artificial Intelligence, Machine Learning, and Generative AI. The ideal candidate will have hands-on experience designing, developing, integrating, and deploying AI/ML solutions for real-world applications.

Key Responsibilities

• Design, develop, test, and deploy machine learning and AI solutions.
• Build and optimize ML models and AI-powered applications.
• Develop solutions leveraging Generative AI and Large Language Models (LLMs).
• Work with structured and unstructured datasets for model development and evaluation.
• Develop data preparation, feature engineering, training, and inference workflows.
• Evaluate model quality, accuracy, reliability, and performance.
• Integrate AI/ML models into applications, services, and APIs.
• Explore and evaluate appropriate AI/ML approaches based on business and technical requirements.
• Collaborate with engineering, data, product, and business teams to translate requirements into practical AI solutions.
• Troubleshoot and improve existing machine learning pipelines and models.
• Follow appropriate software engineering and machine learning development practices.

Required Skills

• Strong hands-on experience in Machine Learning and Artificial Intelligence.
• Practical experience developing Generative AI solutions.
• Experience working with Large Language Models (LLMs).
• Strong programming skills, particularly Python.
• Experience with common ML frameworks and libraries.
• Knowledge of machine learning algorithms, model training, validation, and evaluation.
• Experience working with data preprocessing and feature engineering.
• Understanding of APIs and integration of ML/AI models into applications.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with PyTorch, TensorFlow, or similar ML frameworks.
• Experience with LLM-based application development, prompt engineering, embeddings, and vector-based retrieval.
• Familiarity with RAG (Retrieval-Augmented Generation) architectures.
• Experience with cloud-based AI/ML platforms.
• Knowledge of MLOps concepts, model deployment, monitoring, and lifecycle management.
• Experience with containerization and CI/CD practices.

What We Expect

• Strong practical understanding of ML and AI rather than purely academic knowledge.
• Hands-on experience building AI/GenAI solutions that can be integrated into real applications.
• Ability to evaluate different models and technical approaches based on the use case.
• Ability to work independently on complex ML problems while collaborating with cross-functional teams.
• Strong communication skills and the ability to explain technical concepts clearly.