Machine Learning Engineer

Nasze wymagania: 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 Mile widziane: 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 O projekcie: Smart Topaz is partnering with a large financial organization that is expanding its machine learning and LLM capabilities as part of a long-term technology strategy. The company is building scalable, production-grade ML solutions and investing in modern cloud and MLOps practices. We are looking for a Machine Learning Engineer who will be responsible for developing and deploying ML/LLM-based applications in a cloud-native environment. Zakres obowiązków: 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