Machine Learning Developer

Instituto de Pesquisas Eldorado

Machine Learning Developer at Instituto de Pesquisas Eldorado involved in building and operationalizing AI models. Contributing to practical AI applications using generative models and large language models.

Posted 7/8/2026full-timeBrasília • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying Machine Learning and Artificial Intelligence models, with a strong focus on generative models and large language models. Proficient in data manipulation, MLOps, and cloud environments, while effectively collaborating with multidisciplinary teams.

Highest-signal resume keywords

Machine Learning Model DevelopmentGenerative AI and LLMsMLOps and Model Lifecycle ManagementCloud Environments (AWS, Azure, GCP)Data Manipulation and Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningArtificial IntelligenceData AnalysisProgramming for AI ApplicationsModel EvaluationModel MonitoringTensorFlowPyTorchScikit-LearnPrompt Engineering

Soft Skills

Clear CommunicationTeamworkProactive Problem SolvingAnalytical ThinkingCuriosity

Industry Keywords

Generative ModelsLarge Language ModelsData-Driven SolutionsModel GovernanceConversational AI

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Develop, train, evaluate, and improve Machine Learning and Artificial Intelligence models.
Design and implement scalable, data-driven solutions.
Work with generative models and applications using large language models (LLMs).
Conduct experimentation, validation, and monitoring of models in production.
Collaborate with multidisciplinary teams to identify opportunities to apply AI in products and processes.
Contribute to defining best practices for model development, governance, and operations.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.
Hands-on experience developing Machine Learning models.
Experience deploying, monitoring, and operating models in production or similar environments.
Experience in data manipulation, preprocessing, and analysis.
Programming skills for AI applications and data analysis.
Advanced English.
Clear and concise communication.
Teamwork and collaboration.
Proactive in seeking solutions and improvements.
Analytical and structured thinking.
Curiosity and continuous interest in new AI technologies and trends.
Preferred: Experience with Generative AI and LLMs.
Knowledge of frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
Experience with MLOps and the Machine Learning model lifecycle.
Experience with cloud environments (AWS, Azure, or GCP).
Knowledge of RAG (Retrieval-Augmented Generation), Prompt Engineering, and conversational AI applications.

Benefits

Comp & perks

Candidates with disabilities are always welcome.