Principal MLOps Engineer (Remote)
**Overview:** We are seeking a highly experienced Principal MLOps Engineer to spearhead the development of an MLOps platform to support the development and lifecycle of Acxiom's modeled propensities. As a key member of the Acxiom Data Science and Machine Learning team, you will collaborate with cross-functional teams to design and develop hyperscale ML engineering and MLOps solutions and pipelines. **Responsibilities:** • Partner with the MLOps Engineering leader, Architecture, and data science teams to design and develop hyperscale ML engineering and MLOps solutions and pipelines. * Partner with resources across the US, Europe, and Asia to own development and modernization activities. * Assess current state of MLOps and AI/ML/GenAI capabilities, identify gaps, and design target-state architectures to support ongoing modeled product builds, innovation, revenue growth, and operational excellence. * Own the development of new modernized MLOps infrastructure and migration of existing data products to new infrastructure. * Develop automated AI and ML workflows and end-to-end pipelines for data preparation, training, deployment, and monitoring, ensuring the quality of architecture and design of our ML systems and data infrastructure. * Collaborate with Data Scientists, Product Owners, ML Engineers, and Software Engineers to design and deliver ML solutions, promote models and associated MLOps pipelines into production. * Leverage AI to develop GenAI-powered solutions to complement our data science and product build capabilities. * Lead transformational initiatives to bridge the gap between current and desired AI/ML capabilities, collaborating with cross-functional teams to ensure successful implementation. **Qualifications:** • 10+ years of experience in enterprise architecture, with a focus on AI/ML integration and transformation projects. * 8+ years of professional experience in software development. * Bachelor's Degree in Computer Science or Associate Degree & 8+ years of development experience or equivalent experience. * Strong computer science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis. * Proficiency in at least two modern programming languages such as Java, C++, C, or Python. **Benefits:** • Opportunity to work on cutting-edge MLOps platform development. * Collaborative and dynamic work environment. * Competitive salary and benefits package. * Professional development opportunities. * Flexible remote work arrangements. * Opportunities to work with a diverse range of clients and projects. * Recognition and rewards for outstanding performance Apply tot his job