Senior MLOps Engineer

About Egen

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.

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About the opportunity

Drive the future of our client's AI/ML infrastructure! Lead the design and development of their cutting-edge platform, ensuring responsible, reliable, and efficient machine learning operations.

About the Role

Design and implement MLOps pipelines to automate model training, deployment, monitoring, and management Lead/mentor a team of MLOps Engineers, fostering an inclusive and collaborative environment that encourages innovation and continuous learning Collaborate with Data Scientists and ML Engineers to ensure models are production-ready, scalable, and maintainable Develop strategies for model versioning, testing, and deployment to facilitate a seamless and efficient development lifecycle Monitor model performance and data drift, implementing automated alerts and processes for model retraining and optimization Develop and maintain platforms and applications that serve as foundational components for robust and scalable ML pipelines Stay at the forefront of MLOps trends, tools, and technologies, integrating new approaches to enhance our ML operations and infrastructure

Basic Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field (or equivalent work experience) 4+ years of experience in the technology or data field Proficient engineering and coding skills in Python and other languages Strong background in AI/ML or Data Sciences technologies and platform developmentGreat multi-disciplinary knowledge of technology space (data, cloud, ops, security) Excellent communication, leadership, and project management skills Proficient in Infrastructure as a Code (Terraform) Strong background in CI/CD workflows Mastery in containerization and and container orchestration platforms Sound knowledge of ML pipelines (Kubeflow, Dagster, etc.) Strong Python programming skillsExperience in model development and training