Machine Learning Engineer – Visa Sponsorship

Über das Unternehmen

Siemens is a global powerhouse focusing on the areas of electrification, automation, and digitalization. One of the world’s largest producers of energy-efficient, resource-saving technologies, Siemens is a leading supplier of systems for power generation and transmission as well as medical diagnosis. In infrastructure and industry solutions, the company plays a pioneering role. With a strong commitment to innovation, sustainability, and talent development, Siemens is shaping the future, making a tangible impact on critical sectors worldwide.

Stellenbeschreibung

We are seeking a highly motivated and skilled Machine Learning Engineer to join our innovative team in Fürth. This role offers an exciting opportunity to design, develop, and deploy cutting-edge machine learning models for a variety of industrial applications, including predictive maintenance, quality control, and process optimization. The ideal candidate will have a strong foundation in machine learning principles, excellent programming skills, and a passion for turning data into actionable insights. We value collaboration, continuous learning, and a proactive approach to problem-solving. We are proud to offer visa sponsorship and relocation support for qualified international candidates looking to make a significant impact in a global technology leader.

Hauptverantwortlichkeiten

• Develop and implement robust machine learning algorithms and models for industrial automation and other advanced applications.
• Clean, preprocess, and analyze large, complex datasets to identify patterns, anomalies, and insights.
• Collaborate closely with data scientists, domain experts, and software engineers to define problem statements, gather requirements, and integrate ML solutions.
• Design and conduct experiments to rigorously evaluate model performance, ensuring accuracy, reliability, and scalability.
• Deploy, monitor, and maintain ML models in production environments, ensuring their optimal operation and continuous improvement.
• Optimize ML models for efficiency, scalability, and performance, considering computational resources and real-time constraints.
• Research and apply state-of-the-art machine learning techniques, tools, and best practices to keep our solutions at the forefront of innovation.
• Contribute to the documentation of ML models, processes, and infrastructure, fostering knowledge sharing within the team.

Erforderliche Fähigkeiten

• Strong proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of machine learning principles, algorithms (e.g., supervised, unsupervised, reinforcement learning), and statistical modeling.
• Experience with data preprocessing, feature engineering, model selection, and rigorous model evaluation techniques.
• Proficiency in SQL and experience working with large-scale datasets, including data extraction and manipulation.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices for deploying and managing ML models.
• Excellent problem-solving skills, analytical thinking, and the ability to work effectively in a collaborative, fast-paced team environment.
• Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a closely related quantitative field.

Bevorzugte Qualifikationen

• Master's or Ph.D. in a relevant quantitative field.
• Practical experience with specific industrial applications of ML (e.g., predictive maintenance, quality inspection, process optimization, anomaly detection).
• Knowledge of containerization technologies (Docker, Kubernetes) and microservices architectures.
• Familiarity with big data technologies (e.g., Apache Spark, Hadoop) for distributed data processing.
• Experience with version control systems (e.g., Git) and agile development methodologies.
• Fluency in German is a plus, but not required.

Vorteile & Zusatzleistungen

• Comprehensive visa sponsorship and dedicated relocation support to Germany.
• Competitive salary package complemented by performance-based bonuses.
• Generous comprehensive health, dental, and vision insurance coverage.
• Extensive paid time off, including holidays and vacation days.
• Robust employee development programs, fostering continuous learning and career growth.
• Access to cutting-edge tools, technologies, and a world-class research environment.
• A collaborative, inclusive, and diverse work culture.
• Company pension scheme and other financial well-being programs.
• Initiatives promoting work-life balance and employee well-being.

Jetzt bewerben