📢 5411 Hub is hiring an MLOps Engineer to join the team of a leading industrial company located in Pilar, Zona Norte (Buenos Aires, Argentina)!

Role Objective:
Deploy, scale, and maintain machine learning models in production environments, ensuring integration with industrial systems, continuous monitoring, and data governance.

✅ Key Responsibilities:

• Design and manage MLOps pipelines for training, validating, versioning, and deploying ML models.
• Implement CI/CD processes for data and AI models.
• Ensure the scalability, reliability, and security of ML production solutions.
• Automate retraining workflows, performance monitoring, and drift detection.
• Integrate models with industrial systems, IoT platforms, or BI tools.
• Collaborate with data science, IT, and operations teams to ensure seamless ML lifecycle transitions.
• Document workflows and support model lifecycle governance and audits.

🧠 Required Skills and Qualifications:

• Degree in Systems Engineering, Computer Science, Data Science, or related fields.
• Previous experience in MLOps, DevOps, or Data Engineering roles.
• Proficiency in tools like MLflow, Airflow, Docker, Kubernetes, Git, Jenkins, etc.
• Experience with cloud platforms (AWS, Azure, GCP) and on-prem environments.
• Strong Python skills and knowledge of data science libraries.
• Understanding of data architecture and both SQL and NoSQL databases.
• Intermediate technical English required.

📍Workplace: On-site in Pilar, Zona Norte, Buenos Aires.