Machine Learning Engineer

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March 13

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super.AI

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Automate business processes end-to-end with guaranteed results using super.AI Intelligent Document Processing (IDP).

11 - 50 employees

Founded 2017

💰 $12M Series A on 2021-06

📋 Description

• Measure and ensure the high-quality output of AI workloads for our enterprise customers. • Deploy and manage production workloads for a global customer base. • Write, rewrite, and extend Python code, and deploy it to containers (e.g., Docker). • Conduct local testing using tools like Jupyter Notebook. • Integrate AI cloud solutions and adapt them to our large-scale use cases. • Perform prompt engineering for customer use cases. • Fine-tune and deploy Large Language Models (LLMs). • Develop software that scales to meet the demands of high-load customer workloads.

🎯 Requirements

• 3-5 years of professional experience in software development. • Proven ability to work backwards from customer needs to deliver AI-based features that meet those needs. • Ability to organize and prioritize competing workloads. • Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP). • Solid understanding of machine learning principles. • Experience with container frameworks such as Docker or Kubernetes. • Proficiency in using REST APIs.