Machine Learning Engineer

Role Overview: You will be responsible for developing production-grade Machine learning inference and model training lifecycle. This includes working on various projects as a Machine Learning Engineer, Data Engineer, or Data Scientist. You will need to have a strong experience in Python programming language, PyTorch or Tensorflow, as well as NLP and/or CV models. Additionally, you should be proficient in using libraries such as numpy, pandas, opencv, spacy, nltk, and scikit-learn. Experience with generative models like GPT and prompt engineering will be essential. Your role will also require you to have intermediate or higher proficiency in the English language. This is a full-time position that demands exclusive commitment. Key Responsibilities: - Automatization of information extraction from digital born and scanned documents in various formats (PDF, Excel, Word, Images etc.). - Building prediction and recommendation models based on the input data and user behaviour. - Developing ML/data pipelines and datasets according to business requirements. - Analyzing and visualizing the data, as well as presenting the results to the team. Qualifications Required: - Minimum of 4 years of hands-on experience in production projects as a Machine Learning Engineer, Data Engineer, or Data Scientist. - At least 5 years of overall experience in software development. - Strong experience in Python programming language. - Strong experience in PyTorch or Tensorflow. - Strong experience in NLP and/or CV models. - Strong experience with libraries such as numpy, pandas, opencv, spacy, nltk, and scikit-learn. - Experience with generative models like GPT and prompt engineering. - Intermediate or higher proficiency in the English language. Additional Company Details: N/A,