technologies-expected

Expected, Python, Kubernetes

technologies-optional

Optional, Google Cloud Platform, MLOps, LLMOps, Jenkins, GitLab CI, ETL

technologies-os

Operating system, Linux

Opis stanowiska

About the project, 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.

Twoje zadania

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

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

Wymagania

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

work-organization-work-style

This is how we work, agile, scrum

development-practices

This is how we work on a project, DevOps, issue tracking tools, testing environments

Opis stanowiska

Smart Topaz sp. z o.o., Smart Topaz is partnering with an international organization operating in a large-scale digital and customer-focused environment. The company is currently strengthening its Marketing Automation and personalization capabilities to support the development of omnichannel customer communication and engagement initiatives.

Opis stanowiska

This is how we work,

Opis stanowiska

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.

Twoje zadania

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