Engenheiro de Machine Learning - Remoto

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CANDIDATE-SE

Vaga ofertada por parceiro do Jobbol:
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 level Location: São Paulo - Brasil - RemoteBenefits 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?