AI/ML Engineer

Location: Wellington
Job type: Permanent
Contact name: Ana Lorena Gonzalez
Contact email: ana@placeme.nz
Published: almost 2 years ago

​Looking to make your mark in the AI revolution? 🤖

​

If you’re a Machine Learning Engineer or Computer Vision specialist wanting to make a difference, we want to hear from you!


About the company:

A collective of analysts, scientists, field data collectors, and customer advocates, on a mission to build the power and communications infrastructure of the future.


About the role:

As a Machine Learning Engineer, you will be responsible for designing and implementing core AI/ML functionality and additional features in AI/ML with different methods of persistence and integration. You will be a part of an Agile AI Team, focusing on building solutions to customer problems.

Key responsibilities

  • Implement the assigned requirements and features, set and report on deliverables and timelines.

  • Provide inputs and proof of concept work to demonstrate ‘The Art of the Possible’ and help stakeholders understand what can be achieved using these technologies

  • Track and monitor AI / ML model performance over time to ensure customer satisfaction 🔬

  • Coordinate with relevant contractors/partners to ensure best-in-class architectures and designs


About you:

You are a self-starter who thrives in a collaborative environment. You have experience with relevant technologies, including ML frameworks, and have a proven track record of designing and implementing core ML functionality. You are passionate about continuous improvement and have a desire to be proactive in building a culture of high performance.

Essential

  • Experience as a Machine Learning Engineer or similar role for at least 2-3 years 

  • Strong understanding of machine learning algorithms, data structures, and programming languages, such as Python, PyTorch, TensorFlow, and MMDetection

  • Experience designing and training Computer Vision or Object Detection models

  • Experience with database systems, such as SQL and NoSQL, and familiarity with data processing tools

  • MLOps

  • AWS

Nice to have

  • Experience with DevOps methodologies

  • Docker

  • Infrastructure as code (Terraform)


If you’re ready to help build the future and work with cutting-edge technologies, don’t hesitate to APPLY NOW! 🚀