Participate in ideation processes of AI-ML use case for our product and create protypes for the same.
Understand existing data sets and use case.
Build, validate and clean datasets for model development.
Design, develop, train, and maintain machine-learning models.
Research and apply emerging AI-ML techniques to new business context.
Present information using data visualization techniques.
Collaborate with Engineering and Product Management teams.
Technical Skill Set Required
Minimum 4+ years of experience in building AI/ML based products with predictive analytics capabilities.
Have strong analytical skills, mathematical abilities, and business acumen, being able to translate complex data into actionable insights.
Worked on use cases that involve information retrieval, pattern matching, similarity extraction and text classification.
Professional knowledge on python programming and hands on experience with libraries such as Pandas, SciPy, NumPy, Scikit-Learn, Langchain, sentence transformers etc.
Solid understanding of SQL, NO-SQL, and vector databases.
Professional experience of building REST APIs/webhooks using python-based frameworks like Flask, fast Api etc.
Understanding of designing and implementing various stages (such as data wrangling, feature engineering, model building, evaluation, monitoring, and re-training) of end-to-end ML pipeline.
Proficiency in building statistical and machine learning models and data mining algorithms such as Regression, Clustering, Classification.
Familiarity with NLP concepts embeddings, POS tagging, text similarity, entity linking etc., NLP specific libraries & tools (NLTK, Spacy, Genism), sequence models, transfer learning models and LLMs is a plus.