Data Science Specialist AI ML NLP-Senior

Job Description

Responsibilities 

• Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. 
• Good knowledge of advanced statistical methods. Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights. 
• Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits 
• Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding 
• Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights. 
• Proactively develop new metrics and studies to quantify the value of different aspects of product. 
• Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. 
• Translate analytic insights into concrete, actionable recommendations for business or product improvement. 
• Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams. 
• Define and deploy best practices in Machine Learning & MLOps, mentor and teach colleagues. 
• Partner closely with product and engineering leaders throughout the lifecycle of project.

Job Description 

• 5 to 8 years of experience as Data Scientist 
• Proven track record and experience with statistical modeling/data mining algorithms such as  
• Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc  
• Machine learning, deep learning, graph mining. 
• DOE, Forecasting, Segmentation, Uncertainty Analysis etc. 
• Data Mining i.e. Text Mining, Classification Methods – SVM, NN, etc 
• Vector Space model for Unstructured Text 
• Sentiment Analysis, Association Mining, Semantic Analysis 
• Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model 
• Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits 
• Expertise with one of the following scripting languages: 
• Python, R, Tensorflow, Keras, Pytorch 
• OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs 
• Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. 
• Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. 
• Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. 
• Tech savy and willing to work with open-Source Tools 
• Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. 
• Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. 
• Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. 
• Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API 
• Prior experience working on Mobility or Healthcare domain will be a plus 

Additional information 

A Master’s or PhD is preferred (Computer Science / Machine Learning/ Mechanical, etc) from tier 1 institutions. If Bachelors, Machine Learning or Computer Science specialization only 

Qualifications

Qualifications

B.E/B.Tech

Additional Information

Additional information

5 to 8 years of experience as Data Scientist