MLOps Engineer

hace 2 semanas


Buenos Aires, Argentina REKLUT A tiempo completo

📢 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.


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