Senior AI/ML Developer Specialist

Jobgether • Greater São Paulo Area

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Jobgether is seeking a Senior AI/ML Developer Specialist to design and deliver end-to-end artificial intelligence and machine learning solutions. The role involves developing, training, and operationalizing models, including large language models, while ensuring performance, security, and scalability. The ideal candidate will have strong experience in Machine Learning engineering with deep exposure to production-grade AI systems and modern MLOps practices.

Key Highlights

Design and deliver end-to-end AI/ML solutions

Develop, train, and operationalize models

Ensure performance, security, and scalability

Key Responsibilities

Design and deliver end-to-end AI/ML solutions

Develop, train, and operationalize models

Ensure performance, security, and scalability

Collaborate with cross-functional teams

Provide technical guidance and contribute to strategic decisions

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Technical Skills Required

Machine Learning Artificial Intelligence Generative AI Large Language Models Kubernetes Helm CI/CD pipelines Cloud platforms (OCI and GCP) MLflow Kedro Apache Airflow RAG systems Autonomous agents

Benefits & Perks

Competitive compensation

Fully remote work model

Exposure to cutting-edge AI and Generative AI projects

Access to advanced AI tools and global technology ecosystem

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Nice to Have

Knowledge of FinOps applied to AI workloads

Job Description

This role is focused on designing and delivering end-to-end artificial intelligence and machine learning solutions in a highly innovative, AI-driven environment. You will work on building scalable architectures that support both classical ML and cutting-edge Generative AI use cases. The position involves developing, training, and operationalizing models, including large language models, while ensuring performance, security, and scalability. You will contribute to the creation of robust data and ML pipelines, as well as the deployment of intelligent services in production environments. Working closely with cross-functional teams across product, data, engineering, and security, you will help translate business needs into advanced AI solutions. This is a highly technical role with strong ownership across architecture, implementation, and MLOps practices in cloud-native ecosystems.

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