Software Engineer, Machine Learning Platform
Description For Software Engineer, Machine Learning Platform
Appier is a SaaS company using AI to power business decision-making. Founded in 2012, Appier aims to democratize AI and turn it into ROI by making software intelligent. The company is looking for a Software Engineer for their Machine Learning Platform team. The role involves building a flexible ML platform to speed up AI model development, developing next-generation AI backend systems, and establishing MLops processes and tools. The ideal candidate should have a passion for AI, strong problem-solving skills, and experience with Unix/Linux environments. They should be able to work with scientists, engineers, and product managers. Preferred qualifications include familiarity with machine learning workflows, experience with ML platforms like Kubeflow or MLflow, knowledge of cloud-native ecosystems, and experience with distributed computing engines or public cloud platforms. This position offers an opportunity to be part of the flourishing AI age and contribute to building incredible AI systems.
Responsibilities For Software Engineer, Machine Learning Platform
- Build a flexible ML platform to speed up the development process of AI models
- Develop next-generation AI backend systems related to large-scale data processing, real-time feature generation, evaluation/performance dashboard
- Establish and maintain MLops processes and tools, including model deployment, monitoring, and automation
Requirements For Software Engineer, Machine Learning Platform
- BS/BA degree in Computer Science or related field
- Know basic software testing (able to write unit test for algorithms)
- Experience in Unix/Linux environments
- Strong problem-solving skills and passion for learning new technologies
- Great communication skills to work side-by-side with scientists, and collaborate with engineers, product managers and other teams
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