Machine Learning Engineer

🕒 March 26

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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super.AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

🤖 Artificial Intelligence

💰 $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.

📋 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.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities