Aditi LATAMReimagine your realityTake your career to the next level as an MLOps Engineer (Machine Learning Operations Engineer) and be part of a creative, forward-thinking team. Our success at deploying skilled, highly knowledgeable experts has landed us on the Inc. 5000 list of America’s fastest-growing companies four times – and we are just getting startedProject details:Work with a global tech leader on innovative solutions for automated visual inspection systems, combining machine vision, cloud infrastructure, and scalable MLOps pipelines. This project supports the deployment and monitoring of AI/ML models in production environments with a strong focus on reliability, automation, and reproducibility.You’ll be joining an international team of over 200 professionals across MLOps, Data Science, Development, and QA, contributing to a high-impact AI platform in the industrial technology ecosystem.Tasks details:• Design and manage CI/CD pipelines for ML workflows.• Deploy and monitor models using Docker, Kubernetes, and cloud-native tools.• Implement data and model versioning using DVC/CML.• Track experiments and models using MLFlow and Airflow.• Collaborate using GitLab, JupyterHub, and cloud environments.• Support reproducibility and scalability of the ML infrastructure.Required Technical Skills:• 3+ years of experience with Python.• 3+ years of experience with C/C++.• 3+ years of experience with Git.• Knowledge of MatLab.• 3+ years of experience with C/C++• Knowledge of Machine Vision algorithms.• Knowledge of Containers and Kubernetes.• 1+ years of experience in Cloud environments.• Knowledge of Lambda functions.• Knowledge of DVC/CML with GitLab.• Knowledge of JupyterHub, MLFlow, and Airflow.• Advanced English levelBenefits we provide: Cell phone and internet reimbursements Four-monthly salary reviews Monthly virtual after-office with credit in a delivery app Quarterly after-office outside the office with the team Medical insurance (Porto Seguro) – 100% covered for the employee ⚕️ Doctor for virtual support