Aditi LATAM
Reimagine your realityTake your career to the next level as anMLOps 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 forautomated visual inspection systems, combiningmachine vision,cloud infrastructure, andscalable 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
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?