MLOps Lead

Description

Job Summary: We are seeking an MLOps Lead to lead the implementation, automation, and productionization of machine learning models in cloud environments, with strong experience in data architecture. Key Highlights: 1. Lead the implementation and automation of ML models in the cloud. 2. Design scalable architectures and monitor model performance. 3. Collaborate with Data Science, Data Engineering, and Development teams. **Description:** ---------------- We are seeking an MLOps Lead with solid experience in data architecture and machine learning, responsible for leading the implementation, automation, and productionization of models in cloud environments. Profile: A professional with a degree in Systems Engineering, Data Science, or a related field (a Master’s degree in AI or Data Science is preferred), with experience designing data pipelines and deploying ML solutions into production. Technical Requirements: * AWS experience (SageMaker, EMR, Bedrock, Lambda, S3\). * Infrastructure as Code (CDK, Terraform). * Python, PySpark, and SQL. * Orchestration with Airflow. * Containers (Docker). * CI/CD and version control (Git). * Experience with MLOps practices, RAG, and Large Language Models (LLMs). * Development of REST APIs for model inference. * Fluent English. **Key Responsibilities:** * Design, implement, and maintain data and machine learning model pipelines in production environments. * Automate model training, validation, and deployment processes. * Implement MLOps practices to ensure traceability, versioning, and monitoring of models. * Design scalable cloud architectures aligned with business needs. * Collaborate with Data Science, Data Engineering, and Development teams to ensure solution integration. * Monitor model performance in production and propose continuous improvements. * Ensure compliance with security, quality, and data governance standards.