BE,Btech,MS,MCA

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 aso Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etco Machine learning, deep learning, graph mining.
• DOE, Forecasting, Segmentation, Uncertainty Analysis etc.o Data Mining i.e. Text Mining, Classification Methods – SVM, NN, etco Vector Space model for Unstructured Texto 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, Pytorcho 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