Education and Work Experience Requirements:
· 3 to 5 years of experience as a Data Scientist / NLP Engineer
· Proven track record and experience with statistical modeling/data mining algorithms such as:
o Multivariate Regression, Logistic Regression, Clustering Algorithms, Support Vector Machines, Decision Trees, etc.
o Machine Learning, Deep Learning, Graph Mining
o DOE, Forecasting, Segmentation, Uncertainty Analysis
o Data Mining including Text Mining and Classification Methods – SVM, Neural Networks, etc.
o Vector Space Models for Unstructured Text
o Sentiment Analysis, Association Mining, Semantic Analysis
· Strong experience in working with unstructured text data using transformer-based models and modern NLP techniques.
· Expertise in building statistical models and/or optimization frameworks to improve processes, products, and business outcomes.
· Proficiency in one or more programming languages:
o Python (preferred) or Java
· Strong hands-on experience with:
o NLP libraries such as SpaCy, NLTK, Gensim, OpenNLP, CoreNLP
o Regular Expressions (RegEx) for text parsing, preprocessing, and data extraction
o Large Language Models (LLMs) and Knowledge Graphs
· Good knowledge of supervised and unsupervised NLP tasks including:
o Intent recognition
o Entity extraction
o Text classification
o Question answering
o Summarization
o Topic modeling
· Experience building and fine-tuning Language Models (LMs) such as BERT, ELMo, XLNet, or similar transformer-based architectures for domain-specific NLP use cases.
· Experience in developing end-to-end AI/ML/NLP pipelines including data ingestion, preprocessing, model development, and deployment.
· Familiarity with HTML for building simple interfaces, annotation tools, or AI-powered web applications.
· Experience with containerization tools such as Docker for model packaging, deployment, and scalable AI solution delivery.
· Tech-savvy with strong exposure to open-source tools and frameworks.
· Ability to independently handle technical projects and provide technical direction to team members.
· Experience in converting business ideas into actionable AI solution designs and influencing stakeholders with data-driven insights.
· Strong communication and storytelling skills with the ability to present complex AI/ML insights to cross-functional stakeholders.
· Good to have foundational knowledge of:
o Cloud platforms (AWS/Azure/GCP)
o API frameworks such as Flask or FastAPI
o MLOps best practices and model lifecycle management
· Prior experience in Mobility, Manufacturing, or Healthcare domain is a plus.
Mandatory Skills:
· Strong hands-on expertise in Python (or Java), NLP, RegEx, SpaCy, NLTK, and transformer-based models.