Join ABB and work in a team that is dedicated to creating a future where innovative digital technologies allow greater access to cleaner energy.
Power Grids Technology Center located in Krakow is looking for a self-starter who enjoys working in a business-oriented development team, someone who is flexible, team focused, easy to work with, and an excellent communicator. You will be involved in researching on new methods and models that can be applied for e.g. long horizon forecasting and asset lifetime estimation.
Your responsibilities
- Applying advanced machine learning models in research and development projects related to power systems engineering (predictive analytics, prescriptive analytics, reliability analysis, forecasting and classification);
- Delivering prototypes and state-of-the-art production-level code for machine learning applications in popular data science programming languages (Python, R, Julia, Matlab, etc.);
- Creating technical designs, building pipelines, and modelling algorithms for new functionalities;
- Participating in process improvements;
- Analysing business requirements and translating them into technical designs (reading and writing technical documentation);
- Programming to show that your theoretical concepts work effectively and efficiently in practice.
Your background
- Strong academic qualification with an advanced degree in a quantitative discipline (e.g. statistics, mathematics, econometrics, computer science, physics, electrical engineering or any related field);
- Deep technical experience in advanced machine learning tools (e.g. Support Vector Machines, Neural Networks, Artificial Intelligence, Random Forests, Deep Learning, LSTM, Classification/PCA, Bayesian Analysis, Feature Engineering, Time Series Analysis);
- Proficient in several of the following technologies - e.g. Python, R, Julia, Matlab, SAS or related;
- Knowledge of common data analytics frameworks (e.g., TensorFlow, Keras, Pandas, Sklearn, Numpy);
- Experience in the application of numerical methods, stochastic processes modelling, and signal processing is a plus;
- Knowledge of big data tools and cloud solutions (Hadoop, Spark, AWS, Hive, etc.) is a plus;
- Strong oral and written communication skills (fluent in English).
