MLOps Specialist

Description

Job Summary: The MLOps Specialist will drive the organization’s digital capabilities by deploying, automating, and maintaining AI applications, and ensuring the scalability and reliability of production AI solutions. Key Highlights: 1. Boost digital capabilities through AI 2. Bridge between Data Science and IT operations 3. Ensure scalability and reliability of AI solutions The MLOps Specialist role aims to enhance the organization’s digital capabilities through efficient deployment, automation, and maintenance of artificial intelligence applications, acting as a bridge between Data Science teams and IT operations. The primary mission is to ensure scalability, reliability, and performance of AI solutions in production environments. **Key Responsibilities:** * Development and maintenance of AI applications: * Implementation of artificial intelligence models using Python. * Deployment and management of applications in Kubernetes environments. * Execution of ETL processes using Python and Spark. * Development and maintenance of APIs related to Machine Learning solutions. * Code quality assurance and CI/CD: * Use of Git as version control system. * Implementation of CI/CD pipelines with tools such as GitHub Actions, SonarQube, and Fortify. * Development of automated tests using Pytest. * Monitoring and operations: * Monitoring and maintenance of production projects. * Use of orchestration tools such as Control\-M and Apache Airflow. * Cross-functional collaboration: * Collaborative work with Data Scientists, Product Owners, and CTOs to design and implement robust and scalable AI solutions. **Job Requirements:** * Minimum 1 year of experience in MLOps, Data Engineering, or similar environments. * Proficiency in Python, Kubernetes, Spark, and APIs. * Experience with CI/CD and tools such as GitHub Actions, Sonar, and Fortify. * Familiarity with orchestration tools such as Airflow or Control\-M. * Minimum English proficiency level B2\. * Availability to work in cities where the company has a presence. **Conditions:** * Location: Cities where the company has offices. * Salary: Competitive according to profile, with a maximum base salary of 33ks, open to negotiation based on experience Location (Hybrid)