Mane Consulting is seeking an experienced ML/DevOps professional to own end-to-end ML lifecycle, from data prep to deployment and monitoring. You will collaborate with data scientists and platform teams to ensure reliable and scalable model delivery in production.
Responsibilities include building scalable ML pipelines, implementing robust CI/CD for ML assets, and maintaining cloud and on-prem environments. You will advance MLOps practices and maintain comprehensive documentation.
MLOps Engineer: Build Reliable, Scalable ML Pipelines in Melbourne employer: Mane Consulting
Mane Consulting is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about data analytics in the banking sector. With a strong emphasis on professional development, employees are encouraged to grow their skills through hands-on experience and training opportunities, all while working in a vibrant environment that values creativity and teamwork. Located in a thriving financial hub, this role offers unique advantages such as access to industry-leading projects and the chance to make a significant impact on client outcomes.
