Machine Learning Engineer - Remote with Relocation Support
About the Role
We are seeking a Machine Learning Engineer to join our innovative team at Halter. This Machine Learning Engineer remote position offers a unique opportunity to work on cutting-edge agricultural technologies that are transforming farming practices in New Zealand. You will be part of a mission-driven company that is dedicated to optimizing farming operations through advanced machine learning models.
What You'll Do
- Develop and implement machine learning models to provide farmers with actionable insights.
- Conduct extensive research and literature reviews to stay updated on the latest advancements in machine learning and agriculture.
- Design and optimize datasets for training and validation of models.
- Collaborate with cross-functional teams including engineering, product, and design to deliver impactful solutions.
- Own the end-to-end development of machine learning pipelines, from conception to deployment and monitoring.
Requirements
- A degree in Computer Science, Mathematics, or a related field with a focus on machine learning.
- Experience in developing predictive systems and machine learning models, preferably in a real-world context.
- Proficiency in Python and familiarity with machine learning libraries such as TensorFlow or PyTorch.
- Strong analytical skills and the ability to work with large datasets.
- Excellent communication skills and a collaborative mindset.
Nice to Have
- Experience with advanced machine learning architectures such as Transformers.
- Knowledge of agricultural practices and challenges faced by farmers.
- Familiarity with cloud computing platforms (AWS, GCP, Azure).
What We Offer
- Competitive salary and comprehensive relocation support.
- Unlimited paid annual leave and wellness leave to recharge.
- Annual personal development budget of $1,000 for continuous learning.
- Parental leave benefits for primary and secondary caregivers.
- A vibrant office culture that fosters collaboration and innovation.
Join Halter as a Machine Learning Engineer and work remotely with relocation support. This role offers the chance to innovate in AgTech and make a real impact.
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