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

Must-have

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

Nice-to-have