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The Staff MLOps Engineer will develop and oversee the AI/ML platform, focusing on the Synthetic Data initiative and ensuring efficient ML lifecycle management, training infrastructure, model serving, and mentoring.

Join a highly skilled team working on backend software development, focusing on combating fraud and improving traffic quality using top programming skills and analytical problem-solving.

The Staff MLOps Engineer will oversee Cint's AI/ML platform, focusing on building a shared infrastructure for various AI/ML initiatives, managing ML lifecycle processes, and optimizing model serving and monitoring. They are expected to mentor engineers and lead through technical standards.

As a Staff MLOps Engineer, you'll drive the development of the AI/ML platform, oversee the full ML lifecycle, build the shared platform, and mentor team members.

The Staff MLOps Engineer will own the AI/ML platform, focusing on the Synthetic Data Platform, overseeing the ML lifecycle, building infrastructure, and mentoring engineering teams while ensuring cost-effectiveness and system performance.

The Partner Success Analyst supports strategic partner relationships, evaluates growth strategies, tracks performance metrics, and collaborates with teams to improve client satisfaction and business outcomes.

As a Data Scientist at Cint, you will analyze large datasets, develop and validate statistical and machine learning models, and collaborate with cross-functional teams to enhance media measurement products.

The Senior Software Engineer II will design, implement, scale, and maintain code for production systems, pushing technical limits and enhancing the Cint platform for data solutions and measurement.

As a Data Scientist, you will analyze large datasets, develop and validate statistical and machine learning models, and collaborate with cross-functional teams on media measurement products.

As a Sr. Software Engineer, you'll develop high-quality backend software, utilize data structures and algorithms, and work with AI/Machine Learning models, ensuring timely product delivery with a skilled team.