Build and implement advanced machine learning models for document mining, question answering, summarization using Spacy, BERT, GLOVE, GPT3 and related technologies
Research, develop and evaluate advanced text processing algorithms and implementations.
Be a data metrics driven individual who helps evaluate the performance of various algorithms based on concrete metrics
Be a creative individual who can rapidly prototype and develop algorithms and advanced machine learning techniques as new requirements emerge
Stay up to date with technology, prototype with and learn new technologies, proactive in technology communities
Constantly learn from peers in the industry in data science and engineering community
Have the software engineering skills to code what you prototyped and stand up a SaaS service
Communicate well in oral and written form and are able to produce documentation of complex AI techniques used in the system
Deliver on time with a high bar on quality of research, innovation and engineering
Qualifications
Master s in STEM or AI/ML areas and 3+ years of professional experience as a machine learning engineer or related roles with hands on experience in projects involving one or more of DNN, CNN, LSTM-RNN, BERT, GPT3 etc.; PhD in STEM or AI/ML lieu of work experience
Experience in setting up supervised unsupervised learning Client/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization
Experience in text classification question answering, topic mining techniques.
Strong experience in prediction using Machine Learning and Deep Learning
3+ years of work experience with at least one of the following languages: Python, Java, and R, node js
3+ years of experience working in Agile team environment
Experience working in a cloud environment (AWS, Azure, GCP) or a containerized environment (Mesos, Kubernetes)