Machine Learning Engineer
Brak informacji o wynagrodzeniu
SeniorFull-time·B2B
#325497·Dodano 21 dni temu·29
Źródło: theprotocol.itTech Stack / Keywords
PythonKubernetesGoogle Cloud PlatformMLOpsLLMOpsJenkinsGitLab CIETLLinux
Firma i stanowisko
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.
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.
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
Nice to have:
- 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
Obowiązki
- 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
SMART TOPAZ
29 aktywnych ofert