Lead product development for AI-powered bot.
Knowledge in NLP frameworks like NLTK. ● Strong understanding of linear algebra, optimization, probability, statistics. ● Experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale and model evaluation. ● Knowledge of various Machine Learning Algorithms such as Supervised, Unsupervised, Reinforcement learning algorithms. ● Should know the various data pre‑processing techniques and its impact on algorithm's accuracy, precision, and recall. ● Good understanding of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) Long Short Term Memory (LSTM) ● Worked on conversation/dialogue system in NLP area ● Knowledge and experience of at least one bot framework or API like Dialogflow, ChatterOn, Botpress, Azure bot or any other bot API ● Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management Understanding morphology, lexicology, phonetics, pragmatics, automated speech analysis, and synthesis ● English communication skills required, mainly written but verbal English will be highly valued ● Experience in developing applications for messengers and mobile devices ● Experience with Python Web Framework (Django) ● Experience of any of the machine learning framework Tensorflow/Theano/Pytorch ● Should have good knowledge of distributed deep learning systems ● Experience in deploying production level deep learning system ● Good knowledge of hyperparameter tuning in machine learning architecture ● Any live project related to deep learning architecture is good to have.
Job Description – Data Scientist About Company Profile Precily is a startup headquartered in Noida, IN. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is data-analysis platform for enterprises that increase the efficiency of the workforce by providing AI-based solutions. Responsibilities & Skills Required: The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following: • Natural Language Processing (NLP), Neural Networks , Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science and analytics. • Proven experience implementing and deploying advanced AI solutions using R/Python. • Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. • Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). • Hand on in handling large amounts of structured and unstructured data. • Measure, interpret, and derive learning from results of analysis that will lead to improvements document processing. Skills Required: • Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks • Word Vectorizers • Word Embeddings ( word2vec & GloVe ) • RNN ( CNN vs RNN ) • LSTM & GRU ( LSTM vs GRU ) • Pretrained Embeddings ( Implementation in RNN ) • Unsupervised Learning • Supervised Learning • Deep Neural Networks • Framework : Keras/tensorflow • Keras Embedding Layer output Please reach out to us: firstname.lastname@example.org
- Strong grasp on Python and basic understanding of matrix algebra - Understanding of modern deep learning techniques like CNN, Attention, LSTM, etc - Experience with TensorFlow and Keras - Experience with Computer Vision and domain specific tools like opencv