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.
About Leena AILeena AI has been founded by IIT Delhi Alumni. Leena AI is making workplaces better by serving its customers with one of a kind enterprise HR Chatbot experience.Leena AI has raised over $2 Mn from top Silicon Valley investors like YCombinator, Elad Gil, Snapdeal Co-Founders & has partners like Oracle and Workplace by Facebook. Leena is being used by over 150,000 employees globally in companies like Coca-Cola, Vedanta Resources, Pidilite, Marico, Axis Bank, etc. and are growing exponentially fast.Leena AI offers you an exciting and challenging environment in which you can grow and thrive. We are offering you roles in which you will be fundamentally impacting the success of the company.At Leena AI, we are looking for people who are concerned about the innovation at all times. We value creativity, hard work, initiative and radical ideas.Responsibilities:1. Drive sales for Leena AI in India and Internationally.2. Negotiate and close deals with CHRO/CIOs of large MNCs.3. Maintain relations with top management of clients and upsell new products as and when they are made.3. Create a strong sales pipeline.4. Generate leads.5. Create innovative selling techniques and strategies.Requirements:1. Minimum experience in selling enterprise SaaS products for 2+ years2. Graduation from top tier college (IIT/IIM/NIT/BITS/XLRI)3. Proficiency in English.4. Knowledge of MS office, including Powerpoint, Excel, Word etc.5. Experience in HR is a big plus.
Profile Brief/ Responsibilities • Keep up-to-date with latest technology trends. • Work closely with Project/Business/Research teams for identifying the best model for a given problem • Research and build highly efficient and state-of-the art models • Selecting features, building and optimizing models using machine learning techniques. Requirements • 2-5 years of relevant industrial experience in Machine Learning and Deep Learning with: Strong working knowledge in Python, C, C++, Linux. • Excellent understanding of Machine Learning Techniques and Algorithms. • Excellent understanding of Text Analytics concepts and methodologies - Named Entity Recognition, Text Classification, Event Detection, Sentiment Analysis, POS Tagging, Bag of Words. • Hands-on experience with Neural Networks (CNN/, RNN,/ DNN, /BNN,/LSTM, SSD, etc), Support Vector Machine, Conditional Random Field etc. • Experience with GPU/DSP/ISP/SoC architecture and system software • Python, Tensorflow/Caffe/CUDA/Keras • Ability to see big picture, think innovative and suggest out of box solutions. • Ability to write high performance structured code. • Exposure to recent developments in Deep Learning domain
Overall experience 0 -1 years in AI/ML and also in the areas of Analytics and Statistical modelling Must have understanding of Artificial Intelligence technologies including some or all: knowledge representation & reasoning (KRR),natural language processing (NLP),speech recognition, unsupervised machine learning, and/or reinforcement learning Education: Master's Degree:- Solid knowledge in deep learning algorithms and AI system design and architecture Development of end to end AI based product to apply visit : www.nerdgeeklab.com or call 96667955307
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