About Company
ABB is a technology leader driving the digital transformation of industries. With a history of innovation spanning more than 130 years, ABB operates in over 100 countries with about 105,000 employees. We are at the forefront of electrifying the world, pioneering automation, and digitalizing industries. In Switzerland, our roots run deep, contributing significantly to global research and development, and shaping the future of industrial applications, smart cities, and sustainable energy solutions. We believe in empowering our people to innovate, collaborate, and make a tangible impact. Joining ABB means being part of a global team that solves some of the world’s most critical challenges. We foster an environment of continuous learning, diverse perspectives, and a commitment to sustainability. Our dedication to research and development, combined with a collaborative and inclusive work environment, makes ABB an exciting place for ambitious AI/ML professionals to grow their careers and contribute to groundbreaking projects that truly make a difference in the industrial landscape and beyond.
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Job Description
As an Artificial Intelligence and Machine Learning Engineer at ABB in Zürich, you will be instrumental in designing, developing, and deploying cutting-edge AI/ML solutions that drive innovation across our diverse business units. You will work within a dynamic R&D environment, collaborating closely with domain experts, data scientists, and software engineers to transform raw data into actionable insights and intelligent systems. Your role will encompass the entire lifecycle of AI/ML projects, from conceptualization and data exploration to model development, validation, and operationalization. You will be expected to apply state-of-the-art machine learning techniques to real-world industrial problems, focusing on areas such as predictive maintenance, quality control, autonomous systems, robotics, and optimization of complex industrial processes. This position offers a unique opportunity to contribute to high-impact projects that directly influence the efficiency, sustainability, and safety of industrial operations globally. We are seeking a creative problem-solver with a strong theoretical understanding of AI/ML algorithms and practical experience in building scalable, robust, and deployable models. If you are passionate about pushing the boundaries of technology, thrive on complex challenges, and want to see your work make a tangible difference in the industrial landscape, ABB is the place for you. You will thrive in an environment that encourages continuous learning, experimentation, and sharing of knowledge, contributing to ABB’s mission of creating a more productive and sustainable future.
Key Responsibilities
- Design, develop, and implement advanced machine learning models and algorithms for various industrial applications, including predictive analytics, anomaly detection, and optimization.
- Collaborate with data scientists and domain experts to define problem statements, gather requirements, and acquire and process necessary datasets.
- Perform extensive data preprocessing, feature engineering, and exploratory data analysis to prepare data for model training.
- Build, train, and evaluate machine learning models, ensuring high performance, scalability, and reliability, utilizing modern ML frameworks.
- Integrate ML models into existing software systems, industrial platforms, and cloud environments, working closely with software development teams.
- Develop and maintain MLOps pipelines for model deployment, monitoring, and continuous improvement in production environments.
- Stay abreast of the latest advancements in AI/ML research and apply relevant findings and best practices to ongoing projects.
- Document development processes, models, and results clearly for knowledge sharing, reproducibility, and compliance.
Required Skills
- Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
- Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning architectures).
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Proficiency in MLOps practices and tools (e.g., Docker, Kubernetes, MLflow, CI/CD).
- Experience with cloud platforms (e.g., Azure ML, AWS SageMaker, Google Cloud AI Platform) for ML model deployment and management.
- Strong analytical and problem-solving skills with a data-driven approach.
- Excellent communication and collaboration abilities in a multidisciplinary team setting.
- Fluent in English (written and spoken).
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related quantitative field.
- Experience with big data technologies (e.g., Apache Spark, Hadoop).
- Knowledge of industrial automation, robotics, power systems, or other relevant industrial domains.
- Familiarity with distributed computing and real-time data processing frameworks.
- Publications in peer-reviewed AI/ML conferences or journals.
- Experience with Edge AI deployment and optimization for constrained environments.
- Proficiency in German is a plus.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and accident insurance plans, including generous pension scheme (BVG).
- Flexible working hours and opportunities for hybrid work model.
- Continuous learning and development opportunities, including internal training programs and external courses.
- Access to cutting-edge technologies and world-class R&D facilities.
- Collaborative, international, and diverse work environment.
- Employee assistance programs and wellness initiatives.
- Subsidized public transport, company discounts, and various social activities.
- Opportunities for global career progression within ABB.
How to Apply
We encourage all qualified candidates to apply by clicking on the application link below. Please submit your resume and a compelling cover letter, outlining your relevant experience, technical expertise, and why you are a great fit for ABB and this challenging role. We look forward to reviewing your application!
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