Junior Machine Learning Engineer

SuperOps is one of the hottest SaaS startups to be funded during the 'funding winter' of last year. We are in our expansion phase. Our unified award-winning platform helps IT service providers manage their clients' tickets, monitor clients' IT infrastructure, maintain IT documentation, and manage clients' projects. We have a number of paying customers and are looking for passionate individuals to join us on this journey of growth.I find the culture at SuperOps so refreshing. If I were distill it to one word, it is to be treated as an 'adult'. I have the freedom to take decisions, question things and nurture the culture at the organization itself. It also means that I am accountable and have the responsibility to behave as a professional. In this 'knowledge' industry, it is the people and culture who are the assets and I feel 'rich' at SuperOps.Sivanand SivaramSenior Director - AIYou'll be responsible for Data engineering skills looking to expand into data science, AI and machine learning.Building data and machine learning pipelines.Data science skills looking to learn data engineering and build distributed systems.Analyzing, transforming and interpreting data - building machine learning models.Backend engineer or cloud engineer looking to learn AI, machine learning and data engineering.Collaborating and working across teams, taking ideas from product managers, breaking them down into data science and engineering tasks, research and development of machine learning pipelines.Proof of eligibility to work in New Zealand is required for all applicants, we are not able to sponsor visa applications for this position.You're someone who Curiosity to learn about machine learning, data science and engineeringExperience with SQL, Java and/or Python.Familiarity with git, software engineering processes, CI/CD.Knowledge of AWS, Google Cloud, big data, data streaming, distributed systems is a bonus.#J-18808-Ljbffr