DevOps Engineer - Advanced Analytics

MAKE HISTORY WITH US! At PMI, we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future. With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions. We are seeking a highly skilled and experienced DevOps Machine Learning Engineer to join our team. As a DevOps ML Engineer, you will be responsible for developing, deploying, and maintaining machine learning models in a DevOps environment. You will collaborate closely with data scientists, software engineers, and infrastructure teams to ensure the seamless integration and efficient operation of machine learning systems. In this role, you will have the opportunity to work with cutting-edge technologies and make a direct impact on the development and implementation of machine learning solutions. You will be responsible for designing and implementing scalable infrastructure for training and deploying machine learning models, optimizing model performance, and automating the end-to-end ML workflow. Your expertise in DevOps practices and machine learning techniques will be critical to our success as we continue to leverage AI and ML technologies to drive innovation and improve business outcomes. JOIN US! WHO ARE WE LOOKING FOR? • Proven experience working as a DevOps Engineer in a machine learning environment • Strong programming skills in languages such as Python, Java, or Go • Experience with containerization technologies such as Docker and Kubernetes • Proficient in cloud platforms and services such as AWS, Azure, or GCP • Solid understanding of machine learning principles and algorithms • Familiarity with CI/CD pipelines and version control systems • Excellent problem-solving and troubleshooting skills • Strong communication and collaboration skills • Ability to work effectively in a fast-paced and dynamic environment • Attention to detail and commitment to delivering high-quality results • Bachelor's degree in Computer Science, Engineering, or a related field • Experience with DevOps tools and methodologies is a plus WHAT WE OFFER YOU? • Private medical and dental care, life insurance • Lunch card (Sodexo) • Hybrid work opportunity and flexible working arrangements • Employee pension plan • Multisport program • Cafeteria program • Wide range of trainings, optional language classes, further education and professional qualification support possibility • Free bike and car parking for all employees HOW CAN YOU MAKE HISTORY WITH US? • Develop and maintain scalable infrastructure for training and deploying machine learning models • Collaborate with data scientists and software engineers to implement and optimize machine learning workflows • Implement automated testing, monitoring, and logging for machine learning systems • Troubleshoot and resolve issues related to model performance and infrastructure stability • Continuously improve and optimize the performance and efficiency of machine learning systems • Ensure the security and integrity of machine learning models and data • Stay up-to-date with the latest trends and technologies in DevOps and machine learning Please note that only online applications will be taken into consideration. Only selected candidates will be contacted. #LI-Hybrid