
11 - 50 employees
Founded 2017
đ¤ Artificial Intelligence
đ° $12M Series A on 2021-06
Artificial Intelligence
super. AI is a company that specializes in automating business processes by utilizing artificial intelligence and machine learning technologies to handle unstructured data and document processing. Their Intelligent Document Processing (IDP) solution ensures guaranteed results for complex document workflows, streamlining operations for businesses.
đ March 26
đŠđŞ Germany â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ¤ Machine Learning Engineer
đť Ghost score 53%
Where this job comes from
Posted on super.AI's careers page, not through a job board
First seen by Remote Rocketship March 26
Still open on super.AI's site. Checked 7 hours ago.

11 - 50 employees
Founded 2017
đ¤ Artificial Intelligence
đ° $12M Series A on 2021-06
Artificial Intelligence
super. AI is a company that specializes in automating business processes by utilizing artificial intelligence and machine learning technologies to handle unstructured data and document processing. Their Intelligent Document Processing (IDP) solution ensures guaranteed results for complex document workflows, streamlining operations for businesses.
⢠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.
⢠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.
⢠Flexible work arrangements ⢠Professional development opportunities
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