Machine Learning Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Europe"), this listing's salary midpoint is about 90% lower. The offer sits below the benchmark range (€3,060–€14,526). The listed pay band (€687–€999) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 33 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Machine Learning Engineer | €11,159/per month | €16,639/per month | €21,189/per month |
| All roles in Remote - Europe | €3,060/per month | €5,524/per month | €14,526/per month |
What you'll do: 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. Your Experience: 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.
Job Details
Responsibilities
- Measure and ensure the high-quality output of AI workloads for 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 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
Skills & Technologies
| Location | Active listings |
|---|---|
| Berlin, Germany | 1 |
| Remote - Europe | 1 |
| Role type | Active listings |
|---|---|
| Machine Learning Engineer | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 1 |
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