Machine Learning Operations Engineer

Job description

The Image Fusion & Analytics research group is responsible for delivering innovative technology in the fields such as Imaging, Visualization and Analytics.

We do this by merging three aspects - research, algorithm development and distributed systems. Each field covers a wide range of technologies, from deep learning, image processing techniques to cloud computing and big data.

We look for people who can take on this challenge, who are self-motivated and can take ownership of their work; people who approach a problem with curiosity and are willing to always learn and teach others as well.

Change the future with us

We are seeking a highly skilled and motivated ML Ops Engineer to join our team. The ideal candidate will bridge the gap between the research scientist and production environment by creating and maintaining a proper infrastructure for training, evaluation, and deployment of AI algorithms. This is a key role that requires expertise in software engineering, data engineering, and machine learning operations.

Responsibilities:

• Implement and maintain automated workflows for model training, evaluation, and deployment;
• Design and build scalable systems for data processing, model training, and deployment.
• Work closely with research scientists in order to deploy and supervise the trained models.
• Develop tools aimed to increase the productivity of multiple ML Engineering teams.
• Ensure compliance with security and privacy standards for data handling and model deployment.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or related field;
• Good programming skills in Python;
• Experience with containerization technologies such as Docker and Kubernetes;
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform;
• Experience with version control systems such as Git;
• Strong problem-solving and analytical skills;
• Good communication and teamwork skills.

Preferred Qualifications

• Familiarity with continuous integration and deployment (CI/CD) pipelines.
• Good understanding of storage solutions for big data projects.
• Ability to design a distributed system using the Kubernetes platform.

About us

We’re Siemens, a collection of great minds who are all making the future. You could be one of us! Siemens is a global technology powerhouse that owns innovative solutions in the areas of electrification, automation and digitalization. Software and R&D play a crucial role at Siemens. The division in Brasov, Cluj-Napoca and Bucharest is the competence center for research, software development, IT and engineering, which makes the company a major leader in vertical IT technologies.

Join us! We’ve got quite a lot to offer. How about you?

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.