Expected, Python, R, LLM, GenAI
Operating system, Windows, macOS, Linux
Your 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.
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.
This is how we work, in house
Development opportunities we offer, development budget, external training, intracompany training, mentoring, substantive support from technological leaders, technical knowledge exchange within the company
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
Recruitment stages, Checking your CV, Evaluating your qualifications, Making an appointment, Getting the answer
Spyrosoft S.A. , Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.
Tableau statistics Artificial intelligence (AI) Amazon Web Services (AWS) Computer Science Azure Support Vector Machines (SVMs) Linux physics MLOps Google Cloud Platform (GCP) Windows Engineering Power BI Amazon Bedrock GenAI mathematics macOS Data Science Python R regression ML models dotnetnuke LLM