Aditi LATAM
Reimagine your reality
Take 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 started
Project 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 level
Benefits 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
🥗 Meal Ticket
💪 WellHub and wellness discount platform
💻 Equipment and work material (notebook and accessories)
🎁 Gift for company anniversaries (2, 5, and 10 years)
🌴 Annual Day Off
💐 2 days leave for loss of a 2nd-degree relative
📚 Annual training plan
🖥️ E-learning platforms
🇬🇧 English classes during working hours
🌍 Discounts on training in other languages
🏅 Certifications reimbursement up to $500 per year
🏦 Savings account at Banco Itaú or Santander Bank
🚌 Transportation coverage for 100% on-site work
¿Ready to shape the future of industrial AI?