| Company |
Super.AI |
| Job title |
Machine Learning Engineer |
| Job location |
Berlin, Remote (Europe) |
| Type |
Full Time |
Responsibilities:
- 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 & Skills:
- 3-5 years of professional experience in software development.
- Proven ability to work backward 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.
