Senior Generative AI Data Scientist

2 tygodni temu

Wroclaw, Polska Spyrosoft S.A. Pełny etat

technologies-expected :
Python
R
LLM
GenAI

responsibilities :
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 modeling
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 contacts with clients: providing them with the required expertise, as well as identifying their issues and business needs.

requirements-expected :
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.

benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
flexible working time
fruits
integration events
corporate library
no dress code
video games at work
coffee / tea
leisure zone
Group insurance
Equipment to choose from
Multisport card
Training budget

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