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Hybrid Bengaluru role, popular ML Data Scientist title, mid-level experience and broad skillset increases applicant competition.
ML/NLP/image expertise is transferable, but consumer-goods domain knowledge increases domain specificity.
Explicit 2+ years requirement plus mandatory ML/NLP/image processing skills and coding/CI/CD standards increases selection rigor.
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Develop and improve machine learning models, including NLP and image processing, based on client feedback and domain knowledge.
Formulate hypotheses and create proof-of-concept models for supervised and unsupervised learning tasks.
Ensure data quality, monitor model performance, document changes, and communicate insights effectively through visual and written means.
Bachelor's degree in Mathematics, Physics, Natural Sciences, or Engineering or equivalent.
2+ years of relevant work experience in data science or machine learning.
Advanced proficiency in Python, including version control (git), CI/CD scripting, regular expressions, and basic web app development.
Knowledge of machine learning model maintenance, evaluation, classical ML and NLP techniques, deep learning awareness, and data visualization frameworks.
Experienced in handling diverse data types including semi-structured text in multiple languages, images, and numeric data relevant to fast-changing consumer goods.
Capable of translating industry-specific knowledge into machine learning solutions with attention to code quality and testing standards.
Skilled in communicating complex model insights and status updates clearly and creating dynamic visual reports suited to different data types.