📢 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.