As Machine Learning Specialist, you will be responsible for designing, developing, enhancing, and implementing AI solutions to meet the needs of our Digital Transformation solutions
You will be responsible for all the processes from data collection, cleaning, preprocessing, developing AI/ML models, to training models, creating pipelines, workflows and deploying them to production
Take active part in the development of Industry 4.0 – Predictive Maintenance Platform and liaise with stakeholders to analyze business problems, clarify requirements, and define the scope of the resolution needed
Create and explore Machine Learning/Neural Networks models for fault detection and fault prevention mechanisms of industrial assets with novel approaches such as physics informed machine learning
Discover, design, and develop analytical methods to support advanced data generation and processing approaches like hybrid modeling techniques
You'll be working with complex systems, requiring you to have a high level of concentration and attention to detail
Work with other development teams and product managers to ideate software solutions
Profile:
University degree in Computer Science, Information Technology, Mathematics or related fields.
3+ years of experience in Python Programming with Machine Learning or Neural Networks background
Exceptional skills in mathematics, probability, statistics, and algorithms
Excellent communication skills in English
Ability to write robust code in Python
Proficiency of frameworks such as SciPy, pandas, NumPy, TensorFlow (or similar like PyTorch), scikit-learn, matplotlib/plotly/seaborn
Expertise in visualizing and manipulating big datasets
Ability to connect engineering to data science
Experience in Multi-thread Python processing
Ability to select hardware to run an AI/ ML model with the required latency
Experience in Hyper-parameters optimization techniques (for example optuna)
Knowledge of the following technologies: Linux, Docker, Git/GitHub, Cloud services (especially related to AI, such as Azure Machine Learning)
Experience in working with sequential data would be a plus
Experience in creating data pipelines (Azure) would be a plus
Benefits:
Contract of employment and a competitive salary (together with annual bonus)
Flexible working hours with home office after the pandemic as well
Complex environment of working, professional support and possibility to share knowledge and best practices
On-going development opportunities in a multinational environment
Broad access to professional trainings, conferences and webinars
Private medical care and life insurance
Sport pass, co-financing lunches, language courses
Number of benefits for families (for instance summer camps for kids)