Machine Learning Engineer

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.

• 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

• 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