Senior Software Engineer: Machine Learning Infrastructure And Tools

Halter Marine

Auckland, New Zealand
Base: not specified; bonus/equity: employee stock ...
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Strong proficiency in python programming
Experience with aws cloud platforms
Knowledge of docker and kubernetes
** Halter Marine is seeking a Senior Software Engineer specializing in machine learning infrastructure to enhance their data products aimed at revolutionizing farming practices. The ideal candidate should possess strong skills in cloud platforms, machine learning frameworks, and data engineering, while also thriving in a collaborative, fast-paced environment. **

Job Summary

  • The company is on a mission to enable farmers and graziers to run the most productive and sustainable operations using machine learning.
  • This role involves designing scalable ML pipelines and optimizing model serving infrastructure within a deep-learning dominant environment.
  • Halter offers an inclusive culture with unlimited paid annual leave, wellness leave, and a $1000 self-development budget.

Matching Summary

Match Score: 75

** Halter Marine is seeking a Senior Software Engineer specializing in machine learning infrastructure to enhance their data products aimed at revolutionizing farming practices. The ideal candidate should possess strong skills in cloud platforms, machine learning frameworks, and data engineering, while also thriving in a collaborative, fast-paced environment. **

Salary

Base: Not specified; Bonus/Equity: Employee stock ownership plan included; Benefits: Unlimited paid annual leave, wellness leave, parental leave, $1000 self-development budget

Skills & Requirements

Must-have

  • Strong proficiency in Python programming
  • Experience with AWS cloud platforms
  • Knowledge of Docker and Kubernetes
  • Proficiency in TensorFlow or PyTorch
  • Experience with Infrastructure as Code Terraform

Nice-to-have

  • Passion for meaningful work in agriculture
  • Comfortable in fast-paced environment
  • Love helping people around them succeed
  • Understanding of real-time data systems
  • Experience with Kafka and Spark Streaming

Key Requirements

  • Senior level experience in Machine Learning Infrastructure
  • Strong backend development skills in Python
  • Comprehensive understanding of data engineering best practices

Work Rights

Not specified

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