Machine Learning Engineer
Smart Topaz sp. z o.o.
Hybrid
B2B
Status
Hexjobs Insights
Role: Machine Learning Engineer. Responsibilities include designing ML applications, deploying on GCP, managing Linux-based systems, and collaborating with MLOps. Requirements: Python, Linux, Kubernetes, cloud experience.
Schlüsselwörter
Machine Learning
Python
Linux
Kubernetes
GCP
DevOps
MLOps
CI/CD
ETL
Technologies we use
About the project
Your responsibilities
- Designing and developing applications powered by Machine Learning and LLM models
- Deploying and maintaining ML solutions in cloud environments (GCP) using Kubernetes
- Configuring and managing applications running on Linux-based systems
- Troubleshooting and resolving issues in production environments
- Collaborating closely with MLOps teams to improve deployment and operational processes
- Contributing to the development of scalable and reliable ML infrastructure
- Participating in end-to-end delivery of ML solutions
Our requirements
- Hands-on experience in building and deploying Python-based applications
- Strong knowledge of Linux systems
- Experience working with Kubernetes and containerized applications
- Experience with cloud environments (preferably GCP)
- Ability to independently analyze problems and propose effective solutions
- Understanding of DevOps or MLOps principles
- Interest in developing further in ML and LLM-related technologies
Optional
- Experience in MLOps, LLMOps, or Big Data environments
- Familiarity with CI/CD tools (e.g. Jenkins, GitLab CI)
- Experience with data warehousing and ETL processes
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Aufrufe: 4
| Veröffentlicht | vor 3 Tagen |
| Läuft ab | in 27 Tagen |
| Art des Vertrags | B2B |
| Arbeitsmodus | Hybrid |
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