Senior Software Engineer: Machine Learning Infrastructure and Tools

Senior Software Engineer: Machine Learning Infrastructure and Tools ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. Machine learning infrastructure underpins all of our data products, and enables R&D on highly complex systems with the potential to unlock untapped value. ABOUT THE ROLE We are looking for a Senior Machine Learning Infrastructure Engineer who can scale our market-leading behaviour models, enable the execution of scientific endeavors in a deep-learning dominant environment, and extend the way we apply machine learning to all areas of the business. We’re looking for people who are hungry to make an impact, are comfortable in a fast-paced environment, and love helping the people around them succeed. WHAT YOUR DAY COULD LOOK LIKE - Design and maintain scalable ML pipelines for training, validation, and inference - Build and optimize model serving infrastructure with proper monitoring, logging, and alerting - Implement MLOps practices including automated testing, deployment, and rollback systems - Manage data pipelines and ensure data quality, lineage, and governance - Optimize model performance and resource utilization across different environments - Collaborate with data scientists to productionize models and research experiments TECHNICAL SKILLS - Strong proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)Experience with ML frameworks (TensorFlow, PyTorch) and serving systems - Knowledge of orchestration tools - Proficiency in Python, SQL, and Infrastructure as Code (Terraform) - Experience with monitoring and observability tools - Understanding of CI/CD pipelines and version control systems - Infrastructure Skills: Database management (both SQL and NoSQL) and data warehousing solutions - Stream processing and real-time data systems (Kafka, Spark Streaming) - Model registry and experiment tracking systems - Performance optimization and cost management in cloud environments WHAT WE’RE LOOKING FOR - A comprehensive understanding of the fundamentals and design systems behind building reliable, scalable and fit-for-purpose machine learning models and infrastructure - Strong experience in Python and familiarity with development in a backend tech stack - A strong understanding of da ... (truncated, view full listing at source)