10xteam - Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote

• We are 10x.team, a platform for fractional and freelance professionals. We partner with leading AI labs to advance the capabilities of large AI systems. • Your role is both practical and high-impact. You will: • Review and refine AI-generated content related to MLOps workflows, machine learning pipelines, automation, monitoring, and deployment. • Evaluate outputs for technical validity, reproducibility, and industry best practices in MLOps. • Draft realistic scenarios covering pipeline orchestration, CI/CD for machine learning, model serving, monitoring, drift detection, and scaling infrastructure. • Assess AI reasoning in topics such as containerization, cloud platform deployment, data versioning, experiment tracking, and model lifecycle management. • Identify gaps or inaccuracies in approaches to operationalizing machine learning. • Create scenario variations from the perspective of different MLOps stakeholders: data scientists, engineers, DevOps, and business leaders. • In simple terms: you will assess and improve AI-generated content to ensure it matches real-world MLOps standards and workflows. Your work will directly enhance the quality and reliability of AI systems for MLOps tasks. • Who this is for • An MLOps engineer, ML platform developer, or machine learning operations expert • Based in the EU or UK • With several years of experience in machine learning operations, ML pipelines, or AI infrastructure • Familiar with modern MLOps tools and platforms (e.g., Kubeflow, MLflow, Sagemaker, TFX, Airflow) • Experienced in containerization, CI/CD, monitoring, and scaling ML systems • Comfortable identifying weaknesses in operational processes, tooling, or deployment strategies • Available 8 to 20 hours per week • Able to start in the coming weeks • This is a fully remote, flexible role—ideal alongside other commitments.