Machine Learning Engineer

Clarivate, a global leader in trusted and transformative intelligence, is seeking a Machine Learning Engineer to join their Technology team. This role combines ML engineering with DevOps practices, focusing on deploying and maintaining production ML systems.

The position offers an opportunity to work in a cross-cultural environment within the Intellectual Property (IP) group, collaborating with product and technology teams worldwide. You'll be handling interesting IP data challenges while creating insights that drive business value for world-class products and services.

The ideal candidate should have 5+ years of experience in machine learning or data engineering, with strong expertise in building data pipelines and working with MLOps tools. Technical requirements include proficiency in Python, experience with cloud platforms (AWS/GCP/Azure), and knowledge of container orchestration with Kubernetes. You'll be responsible for overseeing ML model deployments, implementing CI/CD pipelines, and ensuring robust monitoring systems.

Working at Clarivate means joining a company that provides critical intelligence to accelerate innovation across various sectors. The role offers a hybrid work environment with flexible hours to accommodate global collaboration. You'll be part of a dynamic team that values innovation and continuous learning, with opportunities to work on challenging problems in the intellectual property space.

The position requires a blend of technical expertise in ML systems and operational knowledge in maintaining production environments. You'll be expected to drive improvements in MLOps practices while ensuring security and compliance standards are met. This is an excellent opportunity for someone passionate about machine learning infrastructure and eager to impact a global organization's data science capabilities.