Machine Learning Engineer, Forest Ecosystems

View full description

Requirements:

• Bachelor's or Master's degree in Computer Science or a related field
• 4+ years of professional experience in software engineering of which 2+ years of this is experience in developing and designing Computer Vision and/or Machine Learning technologies and systems
• Proficiency with Python and machine learning frameworks like TensorFlow or PyTorch
• Proficiency with software engineering best practices such as version control, testing and continuous integration/continuous deployment (CI/CD)
• Experience with containerization and container orchestration tools like Docker, Kubernetes, Flyte or Temporal
• Experience implementing model versioning, monitoring and observability systems

Responsibilities:

• Establish and maintain machine learning operations workflows for regular data generation
• Run experiments to evaluate machine learning algorithms
• ML operations to maintain production algorithms (monitoring, training, benchmarking, deploying, etc)
• Develop and implement automated testing to ensure the reliability of deployed models
• Contribute to full-stack development, from backend and APIs to DevOps tasks and occasional front-end work