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Machine Learning Specialist
Python

Machine Learning Specialist

Warszawa
Type of work
Undetermined
Experience
Mid
Employment Type
Permanent
Operating mode
Office

Tech stack

    Python

    regular

    Machine Learning

    regular

    Neural Networks

    regular

    Pandas

    regular

    TensorFlow

    regular

    AI

    regular

Job description

Online interview
Tasks:

  • 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)
  • Referral Bonus Program
  • Non working days on the 24th and 31st of December