Machine Learning Engineer – Visa Sponsorship

Über das Unternehmen

ABB (ASEA Brown Boveri) is a pioneering technology leader that works closely with utility, industry, transport and infrastructure customers in more than 100 countries. With a heritage of innovation spanning more than 130 years, ABB is writing the future of industrial digitalization, driving value for customers and partners globally. We are committed to fostering a diverse, inclusive, and international workforce, supporting the brightest minds from around the world to innovate and thrive in Switzerland.

Stellenbeschreibung

We are seeking a highly skilled and passionate Machine Learning Engineer to join our innovative R&D team in Lucerne, Switzerland. This is an exceptional opportunity for talented professionals globally, as ABB is offering visa sponsorship for the right candidate. You will be instrumental in designing, developing, and deploying advanced machine learning models and algorithms that solve complex industrial challenges across various sectors including robotics, electrification, and automation. Your work will directly contribute to enhancing our product capabilities, optimizing operational efficiencies, and creating next-generation intelligent systems. Join a team where your expertise will drive real-world impact and foster continuous professional growth in a multinational environment.

Hauptverantwortlichkeiten

• Design, develop, and implement machine learning models and algorithms for various applications, including predictive maintenance, quality control, and autonomous systems.
• Clean, preprocess, and analyze large datasets to extract meaningful insights and prepare them for model training.
• Evaluate and optimize model performance, ensuring scalability, reliability, and efficiency in production environments.
• Collaborate closely with data scientists, software engineers, and domain experts to integrate ML solutions into existing products and platforms.
• Stay abreast of the latest advancements in machine learning, artificial intelligence, and data science, proposing and implementing innovative approaches.
• Document development processes, models, and results clearly and comprehensively.
• Participate in code reviews, contribute to architectural discussions, and mentor junior team members.

Erforderliche Fähigkeiten

• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Solid knowledge of software development best practices, including version control (Git) and testing.
• Demonstrated experience in deploying ML models into production.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

Bevorzugte Qualifikationen

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field.
• Experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow).
• Knowledge of big data technologies (e.g., Spark, Hadoop).
• Experience in industrial automation, robotics, or energy sectors.
• Publications in relevant conferences or journals.
• Proficiency in additional programming languages such as C++ or Java.

Vorteile & Zusatzleistungen

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Company-sponsored visa and relocation support.
• Professional development and training opportunities.
• Access to state-of-the-art research facilities.
• Pension scheme and employee stock purchase program.
• Dynamic, international work environment in Switzerland.

Jetzt bewerben