Understand business objectives and models that help achieve them
Propose and realize new ideas to benefit our customers and the company
Fully cover (develop, maintain, and monitor) the entire lifecycle of created models
Propose new research, improvements, and best practices
Share knowledge, ideas, and new approaches with team members
Stay up-to-date with the latest findings in applied data science
What You Should Bring
Hands-on experience (3-6 years) developing machine learning solutions with Python for Unstructured Text Based Problems (NLP), including: ML problem analysis, Data preparation (Exploratory Data Analysis) & transformation, Feature analysis & selection, Topic Modelling & NER (Named Entity Recognition), ML model selection using parameter tuning, Model result analysis and presentation, Transfer Learning, Developing custom ML Model based on requirement
Good knowledge of machine learning libraries (like Scikit-learn, NLTK, spacy etc.)
Strong programming knowledge in Python, Flask, NumPy, Pandas etc.
Good knowledge in statistics and algorithms
Experience in image recognition or OCR technology
English level: Intermediate.
Experience in Neural Networks and Deep Learning
Knowledge of ABBYY for PDF and image processing
Knowledge of cloud-based solutions, preferably Azure Cloud
Programming knowledge in MVC/.Net Core Web API, C#, SQL Server
What You Will GetBenefits
Vacation is 20 working days / till 20 working days per year for sick leaves
Full payment of taxes
Flexible work schedule
Opportunity for career growth.
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