Machine Learning Engineer
super.AI
full-time
Posted on:
Location Type: Remote
Location: Germany
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About the role
- 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
- Professional development opportunities
- Collaborative culture
- Enrich the human experience
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonprompt engineeringLarge Language Modelsmachine learningREST APIscontainer frameworksDockerKubernetes
Soft Skills
organizational skillsprioritizationcustomer-focused