Machine Learning Engineer

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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This is how we work

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