Engineering - Software (Information & Communication Technology) Full time Company Overview 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.
The Role Are you excited by AI?
Have you wondered what it takes to develop and execute an AI project where paying customers use the AI capability you help build?
We are looking for a Senior Machine Learning Engineer who has experience in data engineering or backend engineering and has built data pipelines or machine learning pipelines.
You will be responsible for the following: Maintaining, enhancing and developing the streaming data platform.
Designing and engineering data and machine learning pipelines.
Analyzing, transforming and interpreting data - building machine learning models.
Collaborating and working across teams, taking ideas from product managers, breaking them down into data science and engineering tasks, and conducting research and development of machine learning pipelines.
This is an engineering-focused role, applying data engineering skills to AI and Machine Learning.
You have 8+ years of hands-on engineering experience with Java/Scala (or similar) and SQL.
Experience with Python is a bonus.
Experience with big data and streaming systems on AWS and/or Google Cloud.
Knowledge of Google BigQuery, Apache Beam, Apache Airflow, DBT or similar.
Experience with building data pipelines and/or machine learning pipelines at scale.
Knowledge of data science research and development processes, working with data scientists is a big plus.
Familiarity with vector embeddings, outlier detection techniques, text analysis, and MLOps.
What You'll Learn: This is an excellent opportunity for an individual who wants to get hands-on experience in researching and developing machine learning/AI in a commercial environment.
You will be a leader in this growing team.
You can help take SuperOps to the next level by shaping how the AI engineering team works.
The role has a mix of both research and development.
All of the research we do is with an aim to deploy in production.
Why SuperOps High growth: Come and be part of a global rocketship.
With customers worldwide and offices in the US, New Zealand, and India, we are a global company primed for growth.
Dynamic and growing environment: Step into a dynamic, adaptive, and interdisciplinary work environment where you can learn and grow your career in the hottest field in technology today - AI.
Collaborative culture: We have a fun and informal culture with low bureaucracy.
We foster collaboration and an approach where you can voice your ideas in any forum.
Location: We are conveniently located in Christchurch CBD close to incredible amenities.
Application Questions Your application will include the following questions: Which of the following statements best describes your right to work in New Zealand?
Have you worked in a role that requires experience with machine learning techniques?
Which of the following programming languages are you experienced in?
How many years of experience do you have using SQL queries?
How many years of experience do you have in a software development role?
Which of the following Relational Database Management Systems (RDBMS) are you experienced with?
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