MLOps Engineer

Description

Job Summary: We are looking for an MLOps Engineer to build, automate, and maintain production machine learning pipelines, ensuring model reliability, scalability, and efficiency. Key Highlights: 1. Fundamental contribution to the reliability and scalability of ML models 2. Strong impact on product evolution and data-driven decisions 3. Development and maintenance of automated ML pipelines São Paulo, SP Senior About the Role: We are seeking an MLOps Engineer to build, automate, and sustain machine learning pipelines in production. This role plays a critical part in ensuring model reliability, scalability, and efficiency—from training through deployment and continuous monitoring—with significant impact on product evolution and data-driven decision-making. Responsibilities: ✔ Develop and maintain automated pipelines for ML model training and deployment ✔ Implement monitoring systems for model performance, data quality, and concept drift ✔ Design and maintain CI/CD workflows tailored for machine learning ✔ Manage cloud infrastructure for model training and inference ✔ Implement versioning for models, data, and code ✔ Optimize production model costs and performance Requirements: ✔ 3–5 years of experience in MLOps, DevOps, or Data Engineering ✔ Experience with ML platforms such as MLflow, Kubeflow, SageMaker, or similar ✔ Proficiency in AWS, including services like SageMaker, Lambda, and ECS ✔ Solid experience with Docker and Kubernetes ✔ Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI) ✔ Experience with monitoring and observability tools (Prometheus, Grafana, CloudWatch) ✔ Advanced Python skills and knowledge of ML frameworks (scikit\-learn, transformers) ✔ Strong teamwork capabilities ✔ Sense of urgency and accountability for deliverables Nice-to-Haves: ➕ Experience with LLMOps and production language models ➕ AWS certifications (Machine Learning, DevOps) ➕ Knowledge of Terraform and Ansible ➕ Experience with data streaming (Kafka, Kinesis) Work Model: Remote What You’ll Find at Maitha: Individual Development Experience for soft skills, with ongoing support throughout your journey; Well-being Management with tracking of metrics and indicators related to satisfaction progression; Training sessions, workshops, and meetups for soft and hard skill development; Rewards program with points and incentives; TotalPass offering multiple plan options and over 250 modalities—including weight training, cross-training, yoga, dance, and more; And much more!