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AI/ML Engineer
AI/ML Engineer
| Location: | Wellington |
| Job type: | Permanent |
| Contact name: | Ana Gonzalez |
| Contact email: | ana@placeme.nz |
| Published: | 5 months 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! 🚀