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EPAM Systems is looking for a Lead Machine Learning Engineer with a strong background in data science and software engineering to join us in Cyprus, working from our office in a flexible and hybrid work setup. In this role, you will lead the design, development, and operation of machine learning pipelines and collaborate with cross-functional teams to solve business problems. The ideal candidate has over 5 years of experience in ML or Data Engineering with a strong understanding of Python and related ML ecosystems.

EPAM Systems is looking for a Senior Machine Learning Engineer with a strong background in data science and software engineering to join us in Cyprus. In this hybrid work setup, your responsibilities will include developing and deploying machine learning models, working with large datasets, and collaborating with cross-functional teams to solve business problems.

EPAM Systems is looking for a Senior Machine Learning Engineer with a strong background in data science and software engineering to join them in Cyprus, working from their office in a flexible and hybrid work setup. The role involves developing and deploying machine learning models, working with large datasets, and collaborating with cross-functional teams to solve business problems. The position is integral to their projects in the Finance IT area, focusing on the integration component of the finance landscape. If you're ready to leverage your skills and perspective to make a significant impact, apply now and help transform their data capabilities in finance and insurance industries.

EPAM Systems is looking for a Lead Machine Learning Engineer with a strong background in data science and software engineering to join us in Cyprus. In this role, you will develop and deploy machine learning models while working with large datasets. You will lead and contribute to ML pipeline design and communicate with cross-functional teams to solve complex business problems related to the finance and insurance industries. The ideal candidate will have extensive experience as a Machine Learning Engineer or Data Engineer, including coaching junior engineers and ensuring task completion.

EPAM Systems is looking for a Senior Machine Learning Engineer with a strong background in data science and software engineering to join us in Cyprus, working from our office in a flexible and hybrid work setup. As a Machine Learning Engineer, you will develop and deploy machine learning models, work with large datasets and collaborate with cross-functional teams to solve business problems. This position is integral to one of our projects in the client's Finance IT area focusing on the integration component of their finance landscape. If you're ready to leverage your skills and perspective to make a significant impact, apply now and help us transform our data capabilities in the finance and insurance industries.

Bundesdruckerei GmbH is looking for MLOps Platform Engineer (m/w/d). The role involves the further development and operation of our MLOps platform, which includes cloud resources and local servers. You will implement monitoring solutions to oversee performance and status of deployed models and optimize the ML infrastructure for scalability and cost efficiency. You will also develop and maintain CI/CD pipelines to automate testing, integration, and deployment of ML models while applying security best practices to protect both the models and the data they process. The position requires collaboration with Data Scientists, Software Engineers, and other stakeholders to understand model requirements and system limitations.

EPAM Systems is looking for a Senior AI DevOps/SRE to join our innovative team. In this pivotal role, you will collaborate closely with data scientists and software developers to ensure seamless integration and optimize the operational efficiency of our AI deployments. Your expertise will be pivotal in deploying, maintaining, and scaling our cutting-edge AI solutions, encompassing LLMs and RAG systems, while spearheading both traditional DevOps responsibilities and innovative approaches to MLOps.