We are seeking a Senior Data Engineer / AI Engineer to lead the design of scalable data pipelines and ensure the successful deployment of machine learning applications into production.
You will bridge data engineering and MLOps, working with modern cloud-native technologies in a globally recognized, high-performing consulting team.
What You’ll Do
Design, build, and maintain robust data pipelines and integrations for AI/ML applications
Deploy, monitor, and continuously optimize ML models — leveraging techniques like Few-Shot Learning (FSL) and Retrieval-Augmented Generation (RAG)
Implement scalable, production-grade solutions using AWS services (e.g., SageMaker, Glue, Lambda)
Apply MLOps best practices to automate and streamline the entire ML lifecycle (CI/CD, testing, monitoring)
Requirements
Must-Have
5+ years of experience in data engineering for large-scale distributed systems
2+ years of experience deploying AI/ML models in production (e.g., TensorFlow, PyTorch, NLP, LLMs)
Strong proficiency in Python, SQL, NoSQL, and the AWS ecosystem
Solid experience with Apache Spark and Kafka for large-scale data processing
Bachelor’s or Master’s degree in Computer Science or related field
Advanced English (B2/C1 level)
Nice-to-Have
Expertise in API design, DevOps best practices, and serverless computing
Strong problem-solving, adaptability, and a growth mindset — eager to learn and innovate fast
Why Join Us?
At OpsBrasil, we foster a lean, collaborative, and learning-driven culture. You’ll be part of a fast-paced, innovation-first environment where ideas move quickly and your work will have direct impact on shaping both the product and its underlying infrastructure.
You'll have the opportunity to work at the cutting edge of AI/ML and data engineering — helping build a next-generation platform from the ground up.
CA, MX + 1 more
