Senior Generative AI Data Scientist @ Spyrosoft

1 month ago


Warszawa Białystok Kraków Łódź Wroclaw, Czech Republic Spyrosoft Full time
Requirements
  • MSc related to the areas of Artificial Intelligence, Data Science, Computer Science, Engineering, Mathematics, Physics or Statistics 
  • 4+ years of professional experience with data science projects, 
  • Experience in designing and implementing GenAI solutions (Azure OpenAI Services, Google Vertex Generative AI, Amazon Bedrock, Amazon Titan), 
  • Profound understanding of diverse machine learning techniques (Regression, Decision Trees, Ensemble Methods, DNN, SVM, Reinforcement Learning, clustering methods, etc.) and their real-world strengths and drawbacks, 
  • Working knowledge of data science tools, such as Python (preferably) or R, etc., 
  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources, 
  • Experience with data visualization tools, such as Power BI (preferably) or Tableau, etc., 
  • Experience with Azure, AWS, or GCP ML environments (certificate would be a strong plus), 
  • Great communication skills and orientation towards business, 
  • Experience with MLOps and deploying ML models in production, 
  • Proficiency in spoken and written English. 
Project description

Spyrosoft is reaching yet another level in its impressive growth towards boosting its tech capabilities. Therefore, we wish to invite a Data Science Expert, who will strengthen the Unit and enhance Spyro in the following areas:

  • Collaborate in agile teams to design, implement and deploy end-to-end data science solutions with a strong focus on developing innovative product solutions
  • Investigate, analyze and interpret large data sets using the latest technologies and methods
  • Developing algorithms for data preparation, exploration, mining, and modelling
  • Design, implementation, and evaluation of machine learning algorithms
  • Design, develop and implement graphs, metrics, dashboards, apps, and reports to visualize data and support business decision-making.
  • Autonomous implementation, documentation, and further development of products and services
  • Documentation of results and know-how transfer to internal business units and/or clients.
  • Serving as a subject matter expert in contact with clients: providing them with the required expertise, as well as identifying their issues and business needs.
,[] Requirements: AI, Data science, Agile, Machine learning, Azure, Data visualization, AWS, GCP, ML, Communication skills, MLOps, Python, DNN, R, Power BI, Tableau Tools: . Additionally: Modern technologies, Sport subscription, Training budget, Private healthcare, Flat structure, International projects, Free coffee, Bike parking, Playroom, Shower, In-house trainings, Modern office, Startup atmosphere, No dress code.

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