Machine Learning Engineer – English Speaking Research Lab

Über das Unternehmen

Siemens Austria is a leading technology company renowned for its innovative solutions across various industries, including automation, digitalization, and electrification. Our research labs are at the forefront of developing next-generation technologies, fostering a collaborative and dynamic environment where groundbreaking ideas come to life. Join our diverse team and contribute to projects that shape the future.

Stellenbeschreibung

Join Siemens Austria’s cutting-edge English Speaking Research Lab in Wiener Neustadt as a Machine Learning Engineer. You will be instrumental in designing, developing, and deploying advanced machine learning models for industrial applications. This role requires a strong background in ML algorithms, data science, and software engineering, with a focus on delivering robust and scalable solutions. Collaborate with a multidisciplinary team of researchers and engineers to push the boundaries of AI in real-world scenarios.

Hauptverantwortlichkeiten

• Design, develop, and implement machine learning algorithms and models.
• Clean, preprocess, and analyze large datasets to extract meaningful insights.
• Evaluate and optimize model performance, ensuring robustness and scalability.
• Collaborate with research scientists and software engineers to integrate ML solutions into existing systems.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Present findings and recommendations to internal stakeholders and contribute to research publications.

Erforderliche Fähigkeiten

• Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of machine learning algorithms (e.g., deep learning, supervised/unsupervised learning, reinforcement learning).
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Solid foundation in statistics, linear algebra, and calculus.
• Excellent problem-solving and analytical skills.
• Fluency in English, both written and verbal.

Bevorzugte Qualifikationen

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related quantitative field.
• Experience with cloud platforms (AWS, Azure, GCP) for ML model deployment.
• Familiarity with MLOps practices and tools.
• Prior experience in industrial AI applications or research.
• Knowledge of other programming languages such as C++ or Java.

Vorteile & Zusatzleistungen

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness programs.
• Flexible working hours and work-life balance initiatives.
• Opportunities for professional development and continuous learning.
• Access to state-of-the-art research facilities and tools.
• Subsidized public transport passes and company canteen.
• Collaborative and innovative international work environment.

Jetzt bewerben