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.
Want to learn more about life at Egen? Check out these resources in addition to the job description.
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 managementLead/mentor a team of MLOps Engineers, fostering an inclusive and collaborative environment that encourages innovation and continuous learningCollaborate with Data Scientists and ML Engineers to ensure models are production-ready, scalable, and maintainableDevelop strategies for model versioning, testing, and deployment to facilitate a seamless and efficient development lifecycleMonitor model performance and data drift, implementing automated alerts and processes for model retraining and optimizationDevelop and maintain platforms and applications that serve as foundational components for robust and scalable ML pipelinesStay 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 languagesStrong 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 skillsProficient in Infrastructure as a Code (Terraform)Strong background in CI/CD workflowsMastery in containerization and and container orchestration platformsSound knowledge of ML pipelines (Kubeflow, Dagster, etc.)Strong Python programming skillsExperience in model development and training