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Data Scientist

Bosnia and Herzegovina, North Macedonia, Slovenia, Romania, Hungary, Serbia

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Are you eager to be at the forefront of large-scale ML systems, blending technical prowess with safety considerations? Dive into a role that combines the mastery of cutting-edge ML technologies and the importance of user trust. As a Data Scientist, you'll be at the helm of constructing advanced systems while ensuring they're robust and aligned with our principles. 


Responsibilities: 

  • Implementing statistical and machine learning methods that could be used to solve a given problem, then evaluating and presenting the results

  • Data acquisition, exploration, cleaning, augmentation, and visualization

  • Designing, conducting, and tracking experiments in different domains 

  • Analyzing and addressing the errors of applied machine learning models and algorithms 

  • Participating in solution productization, high-level design, and low-level implementation 

  • Driving technical quality of a solution and managing technical debt 

  • Ensuring that the solutions are well-documented and presentable to the stakeholders 

  • Participating in the technical investigation (Spike) and prototyping (PoC) 

  • Communicating and collaborating with engineering teams, product teams, and stakeholders in all project phases 


Required qualifications:

  • Demonstrated proficiency in designing and delivering robust and scalable distributed systems in production

  • Proficient in: statistical data analysis, supervised and unsupervised machine learning, transfer learning and ensemble learning, feature engineering, and optimization techniques

  • Proficient in at least one of the commonly used frameworks: TensorFlow, PyTorch, Keras, scikit-learn

  • Experienced in building application that leverage generative AI technology, e.g. chatbots, FAQ systems

  • Experienced with some of the LLM models in the market, e.g. GPT3.5 and newer, Llama, phi2, etc.

  • Experienced in working with structured and unstructured data, relational and non-relational databases

  • Experienced with Python and familiar with object-oriented programming, clean coding, containerization, model serving, and version control

  • Familiarity with any of the generativeAI frameworks, e.g., Langchain, Llamaindex, Semantic kernel, Propmptflow

  • Familiarity with algorithmic complexity, GPU/CPU utilization, and I/O bandwidth

  • Create pragmatic technical documentation with well-understood diagrams

  • Able to explain technical points using business language and presentations


    Nice to have:

  • Striving for constant improvements in solution design

  • Keeping up with the new trends in the field

  • Experienced in building solutions based on deep learning models

  • Experienced in working with some of the following data types: images, text, time series, spatial data, etc.

  • Experienced with cloud platforms

  • Hand-on experience in building AI applications as services or parts of much larger systems




















Data Scientist

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Data Scientist

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