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AI Implementation Lead - Australian Wildlife Conservancy
Software Engineer
Lead AI initiatives for conservation, designing and deploying machine‑learning models on AWS to analyze wildlife data, drive insights, and support large‑scale environmental projects.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI pipelines for wildlife monitoring and habitat analysis.
- Collaborate with ecologists and data scientists to translate conservation goals into technical solutions.
- Deploy scalable models on AWS, ensuring high availability, security, and cost efficiency.
- Lead cross‑functional teams, manage project timelines, and mentor junior engineers.
- Evaluate model performance, iterate on algorithms, and publish findings to support evidence‑based conservation.
Requirements
- 5+ years of experience in machine‑learning engineering or AI product development.
- Proficiency in Python, TensorFlow/PyTorch, and cloud services (AWS SageMaker, EC2, S3).
- Strong background in data engineering, ETL pipelines, and SQL.
- Excellent communication skills and a passion for environmental impact.
- Experience with project management tools and agile methodologies.
Skills
machine learningpythonawsproject management