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Mlops engineer (machine learning operations engineer)

Brasília
Aditi Latam
Anunciada dia 9 maio
Descrição

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 reimbursementsFour-monthly salary reviewsMonthly virtual after-office with credit in a delivery appQuarterly after-office outside the office with the teamMedical insurance (Porto Seguro) – 100% covered for the employee??? Doctor for virtual supportMeal TicketWellHub and wellness discount platformEquipment and work material (notebook and accessories)Gift for company anniversaries (2, 5, and 10 years)Annual Day Off2 days leave for loss of a 2nd-degree relativeAnnual training plan? E-learning platformsEnglish classes during working hoursDiscounts on training in other languagesCertifications reimbursement up to $500 per yearSavings account at Banco Itaú or Santander BankTransportation coverage for 100% on-site work¿Ready to shape the future of industrial AI?

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